throbber

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`UNITED STATES PATENT AND TRADEMARK OFFICE
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`__________________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`
`__________________________
`
`AMAZON.COM, INC. and AMAZON.COM SERVICES LLC,
`
`PETITIONER
`
`v.
`
`NOKIA TECHNOLOGIES OY,
`
`PATENT OWNER.
`
`___________________
`
`IPR2024-00847, IPR2024-00848
`U.S. Patent No. 7,532,808
`_____________________
`
`
`
`
`
`
`
`
`
`DECLARATION OF DR. JOSEPH P. HAVLICEK
`
`REGARDING U.S. PATENT NO. 7,532,808
`
`1
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`AMAZON-1003
`7,532,808
`
`

`

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`
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`TABLE OF CONTENTS
`
`I. 
`
`INTRODUCTION .................................................................................................. 11 
`
`II.  BACKGROUND AND QUALIFICATIONS........................................................ 12 
`
`A. 
`
`B. 
`
`C. 
`
`Educational Background .......................................................................... 12 
`
`Professional Experience ........................................................................... 13 
`
`Publications .............................................................................................. 17 
`
`III.  LEVEL OF ORDINARY SKILL IN THE ART ................................................... 18 
`
`IV. MATERIALS CONSIDERED AND RELIED UPON .......................................... 19 
`
`V.  LEGAL STANDARDS .......................................................................................... 21 
`
`A. 
`
`B. 
`
`C. 
`
`Priority Date ............................................................................................. 21 
`
`Claim Interpretation ................................................................................. 22 
`
`Prior Art ................................................................................................... 23 
`
`D.  Obviousness ............................................................................................. 23 
`
`VI. SUMMARY OF OPINIONS ................................................................................. 26 
`
`VII. 
`
`VIII. 
`
`TECHNOLOGY OVERVIEW ................................................................ 26 
`
`OVERVIEW OF THE ’808 PATENT ..................................................... 30 
`
`A. 
`
`Subject Matter Overview of the ’808 Patent ........................................... 30 
`2
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`

`

`
`
`
`
`B. 
`
`Brief Summary of ’808 Patent Prosecution History ................................ 39 
`
`IX. CLAIM CONSTRUCTION ................................................................................... 41 
`
`A. 
`
`“skip coding mode” .................................................................................. 42 
`
`X.  DETAILED EXPLANATION OF GROUNDS .................................................... 48 
`
`A.  Ground 1: Obviousness over Karczewicz (Claims 1, 2, 6, 7, 9-11, 15, 16,
`
`20-25, 28-30, 32, 34, 36, 39-41, 43, 44, 47-49, 51-54, 58-60, and 62-65)
`
` .................................................................................................................. 48 
`
`1. 
`
`2. 
`
`Karczewicz .................................................................................... 48 
`
`Claim 1 and Dependents: “A method of encoding a video
`
`sequence” ....................................................................................... 57 
`
`3. 
`
`Claim 7 and Dependents: “A method of decoding an encoded
`
`video sequence” ............................................................................. 87 
`
`4. 
`
`Claim 10 and Dependents: “A video encoder for encoding a video
`
`sequence” ....................................................................................... 93 
`
`5. 
`
`Claim 16 and Dependents: “A video decoder for decoding an
`
`encoded video sequence” ............................................................. 124 
`
`B. 
`
`Ground 2A: Obviousness over Frojdh (Claims 1, 2, 7, 23, 28-30, 34, 39-
`
`41, 65) .................................................................................................... 133 
`
`1. 
`
`Frojdh ........................................................................................... 133 
`3
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`

`

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`
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`2. 
`
`Claim 1 and Dependents: “A method of encoding a video
`
`sequence” ..................................................................................... 152 
`
`3. 
`
`Claim 7 and Dependents: “A method of decoding an encoded
`
`video sequence” ........................................................................... 180 
`
`C. 
`
`Ground 2B: Obviousness over Frojdh in view of H.263 (Claims 6, 9, 24,
`
`25, 32, 36, and 43) ................................................................................. 184 
`
`1. 
`
`H.263 (1998) ................................................................................ 184 
`
`2.  Motivation to combine Frojdh and H.263 ................................... 188 
`
`3. 
`
`Claim 6: A method according to claim 1, wherein if the second
`
`segment has zero motion vector, the zero motion vector is assigned
`
`for skip coding mode of the first segment and the prediction for the
`
`first segment is formed with respect to a corresponding segment of
`
`the reference frame associated with the zero motion vector. ...... 192 
`
`4. 
`
`Claim 24: A method according to claim 1, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from the reference
`
`picture, the zero motion vector is assigned to the skip coding mode
`
`of the first segment and the prediction for the first segment is
`
`formed with respect to a corresponding segment of the reference
`
`4
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`

`

`
`
`
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`frame associated with the zero motion vector. ............................ 198 
`
`5. 
`
`Claim 25: A method according to claim 1, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from a second
`
`reference picture immediately preceding the picture second
`
`segment belongs to, the zero motion vector is assigned to the skip
`
`coding mode of the first segment and the prediction for the first
`
`segment is formed with respect to a corresponding segment of the
`
`reference frame associated with the zero motion vector. ............ 203 
`
`6. 
`
`Claim 9: A method according to claim 7, wherein if a segment in a
`
`previously decoded region surrounding the first segment has zero
`
`motion vector, the zero-motion vector is assigned to the skip
`
`coding mode of the first segment and the prediction for the first
`
`segment is formed with respect to a corresponding segment of the
`
`reference frame associated with the zero motion vector. ............ 205 
`
`7. 
`
`Claim 32: A method according to claim 7, wherein if the second
`
`segment has a zero motion vector, the zero motion vector is
`
`assigned to the skip coding mode of the first segment and the
`
`prediction for the first segment is formed with respect to a
`
`corresponding segment of the reference frame associated with the
`
`5
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`

`

`
`
`
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`zero motion vector. ...................................................................... 207 
`
`8. 
`
`Claim 36: A method according to claim 7, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from the reference
`
`picture, the zero motion vector is assigned to the skip coding mode
`
`of the first segment and the prediction for the first segment is
`
`formed with respect to a corresponding segment of the reference
`
`frame associated with the zero motion vector. ............................ 207 
`
`9. 
`
`Claim 43: A method according to claim 7, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from a second
`
`reference picture immediately preceding the picture second
`
`segment belongs to, the zero motion vector is assigned to the skip
`
`coding mode of the first segment and the prediction for the first
`
`segment is formed with respect to a corresponding segment of the
`
`reference frame associated with the zero motion vector. ............ 207 
`
`D.  Ground 2C: Obviousness over Frojdh in view of AAPA (Claims 10, 11,
`
`16, 21, 22, 44, 47-49, 58-60, and 64) ..................................................... 208 
`
`1. 
`
`’808 Patent Background (AAPA) ................................................ 208 
`
`2.  Motivation to combine Frojdh and AAPA .................................. 209 
`6
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`3. 
`
`Claim 10 and Dependents: “A video encoder for encoding a video
`
`sequence” ..................................................................................... 210 
`
`4. 
`
`Claim 16 and Dependents: “A video decoder for decoding an
`
`encoded video sequence” ............................................................. 220 
`
`E. 
`
`Ground 2D: Obviousness over Frojdh in view of AAPA and H.263
`
`(Claims 15, 20, 51-54, 62, and 63) ........................................................ 232 
`
`1.  Motivation to combine Frojdh, AAPA, and H.263 ..................... 232 
`
`2. 
`
`Claim 15: An encoder according to claim 10, wherein if a segment
`
`in a region surrounding the first segment has zero motion vector,
`
`the encoder is arranged to assign the zero motion vector for the
`
`skip coding mode of the first segment and the prediction for the
`
`first segment is formed with respect to a corresponding segment of
`
`the reference frame associated with the zero motion vector. ...... 233 
`
`3. 
`
`Claim 51: An encoder according to claim 10, wherein if the second
`
`segment has a zero motion vector, the zero motion vector is
`
`assigned to the skip coding mode of the first segment and the
`
`prediction for the first segment is formed with respect to a
`
`corresponding segment of the reference frame associated with the
`
`zero motion vector. ...................................................................... 235 
`
`7
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`

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`4. 
`
`Claim 52: An encoder according to claim 10, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from the reference
`
`picture, the zero motion vector is assigned to the skip coding mode
`
`of the first segment and the prediction for the first segment is
`
`formed with respect to a corresponding segment of the reference
`
`frame associated with the zero motion vector. ............................ 235 
`
`5. 
`
`Claim 53: An encoder according to claim 10, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from a second
`
`reference picture immediately preceding the picture second
`
`segment belongs to, the zero motion vector is assigned to the skip
`
`coding mode of the first segment and the prediction for the first
`
`segment is formed with respect to a corresponding segment of the
`
`reference frame associated with the zero motion vector. ............ 236 
`
`6. 
`
`Claim 20: A decoder according to claim 16, wherein if a segment
`
`in a region surrounding the first segment has zero motion vector,
`
`the zero motion vector is assigned for the skip coding mode of the
`
`first segment, and the prediction for the first segment is formed
`
`with respect to a corresponding segment of the reference frame
`
`8
`
`

`

`
`
`
`
`associated with the zero motion vector. ...................................... 237 
`
`7. 
`
`Claim 54: A decoder according to claim 16, wherein if the second
`
`segment has a zero motion vector, the zero-motion vector is
`
`assigned to the skip coding mode for the first segment and the
`
`prediction for the first segment is formed with respect to a
`
`corresponding segment of the reference frame associated with the
`
`zero motion vector. ...................................................................... 238 
`
`8. 
`
`Claim 62: A decoder according to claim 16, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from the reference
`
`picture, the zero motion vector is assigned to the skip coding mode
`
`of the first segment and the prediction for the first segment is
`
`formed with respect to a corresponding segment of the reference
`
`frame associated with the zero motion vector. ............................ 239 
`
`9. 
`
`Claim 63: A decoder according to claim 16, wherein if the second
`
`segment has a zero motion vector and the second segment is
`
`predicted using motion-compensated prediction from a second
`
`reference picture immediately preceding the picture second
`
`segment belongs to, the zero motion vector is assigned to the skip
`
`coding mode of the first segment and the prediction for the first
`
`9
`
`

`

`
`
`
`
`segment is formed with respect to a corresponding segment of the
`
`reference frame associated with the zero motion vector. ............ 240 
`
`XI. CONCLUSION .................................................................................................... 241 
`
`10
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`I, Joseph P. Havlicek, hereby declare as follows:
`
`I.
`
`INTRODUCTION
`1.
`I have been retained on behalf of Amazon.com, Inc. and Amazon.com
`
`Services LLC (“Amazon” or “Petitioner”) to offer technical opinions related to U.S.
`
`Patent No. 7,532,808 (“the ’808 Patent”) (EX-1001). I understand that Amazon is
`
`requesting that the Patent Trial and Appeal Board (“PTAB” or “Board”) institute an
`
`inter partes review (“IPR”) proceeding of the ’808 Patent. Specifically, I have been
`
`asked to consider the validity of claims 1-2, 6-7, 9-11, 15-16, 20-25, 28-30, 32, 34, 36,
`
`39-41, 43-44, 47-49, 51-54, 58-60, and 62-65 of the ’808 Patent (the “Challenged
`
`Claims”) in view of prior art and obviousness considerations from the perspective of a
`
`person of ordinary skill in the art at the time of the invention (“POSITA”) as it relates
`
`to the ’808 Patent.
`
`2.
`
`I am being compensated for my time at my standard consulting rate. I am
`
`also being reimbursed for expenses that I incur during the course of this work. My
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`compensation is not contingent upon the results of my study, the substance of my
`
`opinions, or the outcome of any proceeding involving the Challenged Claims. I have
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`no financial interest in the outcome of this matter or on the pending litigation between
`
`Petitioner and Patent Owner.
`
`3. My analysis here is based on my years of education, research, and
`
`experience, as well as my investigation and study of relevant materials, including those
`
`cited herein.
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`11
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`4.
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`I may rely upon these materials, my knowledge and experience, and/or
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`additional materials to rebut arguments raised by the Patent Owner. Further, I may also
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`consider additional documents and information in forming any necessary opinions,
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`including documents that may not yet have been provided to me.
`
`5. My analysis of the materials in this proceeding is ongoing, and I will
`
`continue to review any new material as it is provided. This declaration represents only
`
`those opinions I have formed to date. I reserve the right to revise, supplement, and/or
`
`amend my opinions stated herein based on new information and on my continuing
`
`analysis of the materials already provided.
`
`II. BACKGROUND AND QUALIFICATIONS
`6.
`I am over the age of 18 and am competent to write this declaration. I have
`
`personal knowledge, or have developed knowledge of these technologies, based upon
`
`education, training, or experience, of the matters set forth herein.
`
`7. My qualifications are set forth in my curriculum vitae, a copy of which is
`
`filed as Exhibit EX-1004. The following is a brief summary of my relevant
`
`qualifications and professional experience.
`
`A.
`8.
`
`Educational Background
`I received a Bachelor of Science Degree in electrical engineering with
`
`minors in mathematics and computer science from Virginia Tech in 1986. I also
`
`received a Master of Science degree in electrical engineering from Virginia Tech in
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`1988. I received a Ph.D. degree in Electrical and Computer Engineering from the
`12
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`University of Texas at Austin in 1996. My Ph.D. research was in the field of image
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`processing.
`
`B.
`9.
`
`Professional Experience
`From December 1984 to May 1987, I was a software engineer at
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`Management Systems Laboratories, Blacksburg, VA. My main job responsibilities
`
`included developing software for nuclear materials management under contract with the
`
`United States Department of Energy.
`
`10. From June 1987 to January 1997, I was an electrical engineer at the United
`
`States Naval Research Laboratory. For the period of June 1987 through August 1989,
`
`I was an on-site contractor affiliated with SFA, Inc, Landover, Maryland. From August
`
`1989 through January 1997, I was a regular government employee. I was on leave
`
`without pay from August 1987 through July 1988 while completing my Master of
`
`Science Degree. I was also on leave without pay for much of the period from August
`
`1990 through January 1997 while I completed my Ph.D. degree. My main job
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`responsibilities at the United States Naval Research Laboratory included designing
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`digital and analog circuits to process real-time video signals and designing and
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`implementing target detection, tracking, and identification algorithms. I developed
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`missile warning receivers for Navy aircraft including the Navy’s first two-color infrared
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`system. I was a recipient of the 1990 Department of the Navy Award of Merit for Group
`
`Achievement for this work. The production version of this system was deployed on
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`Navy helicopters and saw combat in Afghanistan and Iraq.
`13
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`11. From January 1993 through December 1993, I was an on-site contractor at
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`International Business Machines (IBM) Corporation, Austin, TX. My main job
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`responsibilities included designing and implementing image compression and
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`decompression algorithms (CODECs) for IBM products.
`
`12. Since January 1997, I have been a regular faculty member in the School of
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`Electrical and Computer Engineering at the University of Oklahoma, Norman, OK. I
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`was an Assistant Professor from January 1997 through June 2002. I was promoted to
`
`the rank of Associate Professor and granted tenure in July 2002. I was promoted to the
`
`rank of Professor in July 2007. I was appointed to the Williams Companies Foundation
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`Presidential Professorship in April 2009. In April 2017 I was appointed to the Gerald
`
`Tuma Presidential Professorship. My main job responsibilities at the University of
`
`Oklahoma include conducting academic research in electrical and computer
`
`engineering, teaching graduate and undergraduate courses in electrical and computer
`
`engineering, and performing professional and institutional service.
`
`13.
`
`I am a member of several professional societies and organizations,
`
`including the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Signal
`
`Processing Society,
`
`the IEEE Computer Society, and
`
`the IEEE Intelligent
`
`Transportation Society. I am a Senior Member of the IEEE. From November 2015
`
`through February 2018, I served as a Senior Area Editor for the IEEE Transactions on
`
`Image Processing. I was formerly an Associate Editor for the IEEE Transactions on
`
`14
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`Image Processing from December 2010 through October 2015. I served as a Technical
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`Area Chair for the IEEE International Conference on Image Processing in the area of
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`Image & Video Analysis, Synthesis, and Retrieval (2012, 2013) and have served on the
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`organizing committee of that conference (2007). I have also served as a Technical Area
`
`Chair for the IEEE International Conference on Acoustics, Speech, and Signal
`
`Processing in the area of Image, Video, and Multidimensional Signal Processing (2012-
`
`2014).
`
`14. For over 35 years, I have conducted research and taught classes in the field
`
`of image processing and image analysis. My main scholarly contributions have been in
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`the areas of modulation domain image models and image processing (AM-FM image
`
`models), video target tracking, and distributed control of video networks for intelligent
`
`transportation systems. I have supervised or co-supervised 11 Ph.D. students to
`
`completion and I am currently supervising two Ph.D. students. I have supervised 27
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`M.S. students to completion and I am currently supervising two additional M.S.
`
`students. I have served as a committee member on 67 additional doctoral committees
`
`and 68 additional M.S. committees.
`
`15.
`
`I teach a variety of courses at the University of Oklahoma, including the
`
`required junior-level Signals and Systems course ECE 3793 (taught 21 times), the
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`graduate level Digital Image Processing course ECE 5273 (taught 25 times), and the
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`graduate level Digital Signal Processing course ECE 5213 (taught 18 times). I have
`
`15
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`received a number of teaching awards, including the University of Oklahoma College
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`of Engineering Outstanding Faculty Advisor Award (2005-2006) and the University of
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`Texas Engineering Foundation Award for Exemplary Engineering Teaching while
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`Pursuing a Graduate Degree (1992).
`
`16. Since joining the University of Oklahoma in January 1997, I have been
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`Principal Investigator or Co-Principal Investigator on over 110 externally funded grants
`
`and contracts with a total value of $27,061,653. My main research contributions have
`
`been in the areas of signal, image, and video processing, video target tracking, and
`
`intelligent transportation systems. I have been author or coauthor on over 130 scholarly
`
`publications in these areas. I was a recipient of the 1990 Department of the Navy Award
`
`of Merit for Group Achievement for my work in video target tracking. My research
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`group at the University of Oklahoma originated the Virtual Traffic Management Center
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`concept featured in a December 2014 FHWA technical report (Guidelines for Virtual
`
`Transportation Management Center Development) and a November 2014 FHWA
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`national webinar with the same title. I am co-founder and director of the University of
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`Oklahoma Center for Intelligent Transportation Systems. Under my supervision, the
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`Center has collaborated with the Oklahoma Department of Transportation since 1998
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`to design and implement the Oklahoma Statewide Intelligent Transportation System,
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`including a geographically distributed video network that is currently deployed on
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`major highways and interstates across the entire State of Oklahoma.
`
`16
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`C.
`Publications
`17. A complete listing of my publications is found in my curriculum vitae (EX-
`
`1004). I highlight some of the publications relevant to the subject matter of the ’808
`
`patent below.
`
`18.
`
`J.P. Havlicek, T.N. Arian, H. Soltani, T. Przebinda, and M. Özaydın, “A
`
`preliminary case for Hirschman transform video coding,” in Proc. IEEE Southwest
`
`Symp. Image Anal. & Interp., Santa Fe, NM, Mar. 29-31, 2020, pp. 104-07.
`
`19. E. Vorakitolan, J.P. Havlicek, R.D. Barnes, and A.R. Stevenson, “Simple,
`
`Effective Rate Control for Video Distribution
`
`in Heterogeneous Intelligent
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`Transportation System Networks,” in Proc. IEEE Southwest Symp. Image Anal. &
`
`Interp., San Diego, CA, Apr. 6-8, 2014, pp. 37-40.
`
`20. V. DeBrunner, J.P. Havlicek, T. Przebinda, and M. Özaydın, “Entropy-
`
`Based Uncertainty Measures for L2(Rn), l2(Z), and l2(Z/NZ) with a Hirschman Optimal
`
`Transform for l2(Z/NZ),” IEEE Trans. Signal Process., Aug. 2005, vol. 53, no. 8, pp.
`
`2690-99.
`
`21. O. Alkhouli, V. DeBrunner, and J. Havlicek, “Hirschman Optimal
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`Transform (HOT) DFT Block LMS Algorithm,” in Adaptive Filtering, L. Garcia, ed.,
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`ISBN: 978-953-307-158-9, InTech, Sep. 2011, pp. 135-52.
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`22. V. DeBrunner, M. Özaydın, T. Przebinda, and J. Havlicek, “The optimal
`
`solutions to the continuous- and discrete-time versions of the Hirschman uncertainty
`
`principle,” in Proc. IEEE Int’l. Conf. Acoust., Speech, Signal Process., Istanbul,
`17
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`
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`Turkey, Jun. 5-9, 2000, vol. 1, pp. 81-84.
`
`III. LEVEL OF ORDINARY SKILL IN THE ART
`23.
`In rendering the opinions set forth in this declaration, I was asked to
`
`consider the patent claims and the prior art through the eyes of a POSITA at the time of
`
`the alleged invention. I understand there is a dispute whether the Challenged Claims are
`
`entitled to the priority date of the ’808 provisional—March 15, 2002—or the filing date
`
`of its non-provisional application—March 14, 2003. My opinions herein would not
`
`change regardless of which of these dates applies. I understand that the factors
`
`considered in determining the ordinary level of skill in a field of art include the level of
`
`education and experience of persons working in the field; the types of problems
`
`encountered in the field; the teachings of the prior art; and the sophistication of the
`
`technology at the time of the alleged invention. I understand that a POSITA is not a
`
`specific real individual, but rather is a hypothetical individual having the qualities
`
`reflected by the factors above. I understand that a POSITA would also have knowledge
`
`from the teachings of the prior art, including the art cited below.
`
`24. Taking these factors into consideration, in my opinion, at the relevant time,
`
`a POSITA relating to the technology of the ’808 Patent would have had (1) Bachelor’s
`
`degree in electrical engineering, computer engineering, computer science, or a
`
`comparable field of study such as physics, and (2) approximately two to three years of
`
`practical experience with video encoding/decoding. In my opinion, more education
`
`could substitute for experience and vice versa.
`18
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`25. Before March 15, 2002 (and thus also March 14, 2003), my level of skill
`
`in the art was at least that of a POSITA. I am qualified to provide opinions concerning
`
`what a POSITA would have known and understood at that time, and my analysis and
`
`conclusions herein are from the perspective of a POSITA as of that date. My opinions
`
`would not change regardless of which of the two possible priority dates the Challenged
`
`Claims are entitled to.
`
`IV. MATERIALS CONSIDERED AND RELIED UPON
`26.
`In forming my opinions expressed herein, in addition to relying on my
`
`education and experience, I considered the totality of the following materials:
`
`Exhibit
`
`Reference
`
`1001 U.S. Patent No. 7,532,808 (“the ’808 Patent”)
`
`1002 File History of the ’808 Patent (“’808FH”)
`
`1005 U.S. Patent Provisional Application No. 60/365,072
`
`1006
`
`International Patent Publication No. WO 01/11891 A1 (“Karczewicz”)
`
`1007 U.S. Patent Publication No. 2003/0123738 (“Frojdh”)
`
`1008 U.S. Patent Provisional Application No. 60/334,979 (“Frojdh
`Provisional”)
`
`1009
`
`ITU-T Recommendation H.263 (February 1998) (“H.263”)
`
`1010 Martyn J. Riley and Iain E.G. Richardson, Digital Video
`Communications, Artech House, Inc. (1997) (“Riley”)
`
`1011 Gary J. Sullivan and Thomas Wiegand, Rate-Distortion Optimization
`for Video Compression, IEEE Signal Processing Magazine, pp. 74-90
`(November 1998) (“Sullivan”)
`
`19
`
`

`

`
`
`
`
`Exhibit
`
`1012
`
`1013
`
`Reference
`
`JVT of ISO/IEC and ITU-T VCEG – JVT-A003r1, Joint Model
`Number 1, Revision 1 (JM-1r1), Pattaya, Thailand, 3-7 December 2001
`
`Ismaeil et al., “Efficient Motion Estimation Using Spatial and
`Temporal Motion Vector Prediction.” In Proceedings 1999
`International Conference on Image Processing (Cat. 99CH36348), vol.
`1, pp. 70-74. IEEE, 1999.
`
`1014 Wang et al., Video Processing and Communications (Prentice Hall,
`2002) (“Wang”)
`
`1015 Bhaskaran, Vasudev, Konstantinides, Konstantinos, Image and Video
`Compression Standards, Algorithms and Architectures, (Kluwer
`Academic Publishers, 1995) (“Bhaskaran”)
`
`1016 Respondents’ Opening Claim Construction Brief, Investigation No.
`337-TA-1379 (ITC)
`
`1017 Complainant’s Opening Claim Construction Brief, Investigation No.
`337-TA-1379 (ITC)
`
`1018 Staff’s Opening Claim Construction Brief, Investigation No. 337-TA-
`1379 (ITC)
`
`1019 Respondents’ Responsive Claim Construction Brief, Investigation No.
`337-TA-1379 (ITC)
`
`1020 Complainant’s Responsive Claim Construction Brief, Investigation No.
`337-TA-1379 (ITC)
`
`1021 Staff’s Responsive Claim Construction Brief, Investigation No. 337-
`TA-1379 (ITC)
`
`1022 Order Construing Claims, Investigation No. 337-TA-1379 (ITC), Order
`No. 38
`
`1026 Declaration of June Ann Munford
`
`I have also considered any materials cited in this declaration even if not included in
`20
`
`

`

`
`
`
`
`the list above.
`
`V. LEGAL STANDARDS
`27.
`I am not an attorney and offer no legal opinions, but in the course of my
`
`work, I have had experience studying and analyzing patents and patent claims from the
`
`perspective of a POSITA. For the purposes of this Declaration, I have been informed
`
`about certain aspects of the law that are relevant to my analysis, as summarized below.
`
`28.
`
`I understand that a nonprovisional patent application publication is prior
`
`art as of the earlier filing date of a provisional application if the disclosure of the
`
`provisional provides written description support for at least one claim in the publication,
`
`and the provisional describes the subject matter relied upon as prior art in the
`
`publication. As I describe below (in Section X.B.1.a (Ground 2A, Priority Analysis)),
`
`Frojdh is entitled to its priority date based on the filing of Frojdh Provisional because
`
`Frojdh Provisional provides written description support for at least one Frojdh claim
`
`(claim 15), and because Frojdh Provisional discloses the subject matter relied upon for
`
`prior art in Frojdh in my discussions below (Section X.B (Ground 2A) and Section X.C
`
`(Ground 2B)).
`
`A.
`29.
`
`Priority Date
`I understand that, to gain benefit of the filing date of an earlier patent
`
`application, each application in the chain leading back to the earlier application must
`
`comply with the statutory written description requirement.
`
`30.
`
`I understand that, to satisfy the written description requirement, a patent’s
`21
`
`

`

`
`
`
`
`specification must reasonably convey to a POSITA that the inventor had possession of
`
`the claimed subject matter when the patent application was filed. I understand that, to
`
`show “possession” of the invention, the disclosure must describe the invention,
`
`including all of its claimed limitations. It is not enough that a claimed invention is an
`
`obvious variant of that which is disclosed in the specification.
`
`31.
`
`I further understand that entitlement to a filing date extends only to subject
`
`matter that is disclosed and not to subject matter that is not disclosed but would be
`
`obvious over what is expressly disclosed. Thus, a prior application itself must describe
`
`an invention, and do so in sufficient detail that a POSITA can clearly conclude that the
`
`inventor invented the claimed invention as of the filing date sought.
`
`32.
`
`I also understand that a patent’s priority date is a legal determination based
`
`on underlying factual issues. For that reason, I am not rendering a legal opinion on the
`
`ultimate legal question of priority date. Rather, my testimony addresses the underlying
`
`facts and factual analysis that would support a legal determination of the priority date.
`
`B. Claim Interpretation
`33.
`I understand from Counsel that during an IPR proceeding, claims are to be
`
`construed in light of the specification as would be read by a POSITA at the time the
`
`application was filed. I understand that claim terms are given their ordinary and
`
`customary meaning as would be understood by a POSITA in the context of the entire
`
`disclosure. A claim term, however, will not receive its ordinary meaning if the patentee
`
`acted as his or her own lexicographer and clearly set forth a definition of the claim term
`22
`
`

`

`
`
`
`
`in the specification. In that case, the claim term will receive the definition set forth in
`
`the patent.
`
`C.
`34.
`
`Prior Art
`I understand from Counsel that certain patents and printed publications can
`
`be considered prior art in an IPR proceeding. I understand that prior art must predate
`
`the effective filing date of the claims of the patent-at-issue.
`
`D. Obviousness
`35.
`I understand that a claim is unpatentable if the claim limitations, as
`
`arranged in a claim, would have been obvious to a person of ordinary skill in the art as
`
`of the date of invention. For example, a combination of familiar elements according to
`
`known methods is likely to be obvious if the combination does no more than produce
`
`predictable results.
`
`36.
`
`In determining obviousness, I understand that the analysis may take into
`
`account multiple prior art references, as well as the common knowledge possessed by a
`
`POSITA (as discussed above). I further understand that the POSITA is not an
`
`automaton but one having common sense and ordinary creativity. I also understand that
`
`a claim is not obvious simply because a combination of prior art refere

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