Electrical computers and digital processing systems: multicomput – Computer-to-computer protocol implementing – Computer-to-computer data streaming
Reexamination Certificate
2005-06-28
2005-06-28
Najjar, Saleh (Department: 2157)
Electrical computers and digital processing systems: multicomput
Computer-to-computer protocol implementing
Computer-to-computer data streaming
C709S236000, C709S246000, C348S384100, C348S390100, C348S401100, C348S405100, C348S409100
Reexamination Certificate
active
06912584
ABSTRACT:
An improved loss recovery method for coding streaming media classifies each data unit in the media stream as an independent data unit (I unit), a remotely predicted unit (R unit) or a predicted data unit (P unit). Each of these units is organized into independent segments having an I unit, multiple P units and R units interspersed among the P units. The beginning of each segment is the start of a random access point, while each R unit provides a loss recovery point that can be placed independently of the I unit. This approach separates the random access point from the loss recovery points provided by the R units, and makes the stream more impervious to data losses without substantially impacting coding efficiency. The most important data units are transmitted with the most reliability to ensure that the majority of the data received by the client is usable. The I units are the least sensitive to transmission losses because they are coded using only their own data. While they provide the best coding efficiency, the P units are the most sensitive to data loss because the loss of one P unit renders useless all of the P units that depend on it. The remotely predicted units are dependent on the I unit, or in an alternative implementation, on another R unit.
REFERENCES:
patent: 4838685 (1989-06-01), Martinez et al.
patent: 5049991 (1991-09-01), Niihara
patent: 5214504 (1993-05-01), Toriu et al.
patent: 5469226 (1995-11-01), David et al.
patent: 5477272 (1995-12-01), Zhang et al.
patent: 5546129 (1996-08-01), Lee
patent: 5557684 (1996-09-01), Wang et al.
patent: 5579430 (1996-11-01), Grill et al.
patent: 5592226 (1997-01-01), Lee et al.
patent: 5594504 (1997-01-01), Ebrahimi
patent: 5598215 (1997-01-01), Watanabe
patent: 5598216 (1997-01-01), Lee
patent: 5612743 (1997-03-01), Lee
patent: 5612744 (1997-03-01), Lee
patent: 5619281 (1997-04-01), Jung
patent: 5621660 (1997-04-01), Chaddha et al.
patent: 5627591 (1997-05-01), Lee
patent: 5642166 (1997-06-01), Shin et al.
patent: 5668608 (1997-09-01), Lee
patent: 5673339 (1997-09-01), Lee
patent: 5692063 (1997-11-01), Lee et al.
patent: 5731850 (1998-03-01), Maturi et al.
patent: 5754233 (1998-05-01), Takashima
patent: 5784175 (1998-07-01), Lee
patent: 5822541 (1998-10-01), Nonomura et al.
patent: 5835144 (1998-11-01), Matsumura et al.
patent: 5835149 (1998-11-01), Astle
patent: 5870148 (1999-02-01), Lillevold
patent: 5880784 (1999-03-01), Lillevold
patent: 5946043 (1999-08-01), Lee et al.
patent: 5982438 (1999-11-01), Lin et al.
patent: 6011596 (2000-01-01), Burl et al.
patent: 6029126 (2000-02-01), Malvar
patent: 6052150 (2000-04-01), Kikuchi
patent: 6057832 (2000-05-01), Lev et al.
patent: 6122321 (2000-09-01), Sazzad et al.
patent: 6625215 (2003-09-01), Faryar et al.
patent: 0579319 (1994-01-01), None
patent: 0612156 (1994-04-01), None
patent: 0614318 (1994-09-01), None
patent: 0707425 (1994-10-01), None
patent: 0625853 (1994-11-01), None
patent: WO 91/11782 (1991-08-01), None
patent: WO 97/05746 (1997-02-01), None
International Organization for Stadardisation ISO/IEC JTCI/SC29/WG11, Information Technology-Coding of Audio-Visual Objects: Visual, ISO/IEC 14496-2, Mar. 1998, pp. vii-xiii, 14-23, 30-37, and 192-225.
International Organization for Standardisation ISO/IEC JTCI/SC29/WG11, N2459 “Overview of the MPEG-4 Standard,” Oct. 1998.
“Advanced Streaming Format (ASF) Specification,” Feb. 26, 1998, pp. 1-56, co-authored by Microsoft Corporation and RealNetworks, Inc.
“Video Coding for Low Bitrate Communication,” Draft Recommendation H.263, International Telecommunication Union, Dec. 1995, 51 pages.
Microsoft Corporation, “Windows Media Technologies: Overview—Technical White Paper,” 1998, pp. 1-16.
Gibson et al.,Digital Compression of Multimedia, “Multimedia Conferencing Standards,” Chapter 10, pp. 309-362 (1998).
Gibson et al.,Digital Compression of Multimedia, “MPEG Compression,” Chapter 11, pp. 363-418 (1998).
Hotter, “Optimization and Efficiency of an Object-Oriented Analysis-Synthesis Coder,” IEEE Transactions on Circuits and Systems for Video Technology, 2:181-194 (Apr. 1994).
Irani et al., “Video Indexing Based on Mosaic Representations,” Proc. IEEE, Vo. 86, No. 5, pp. 905-921 (May 1998).
Le Gall, “MPEG: A Video Compression Standard for Multimedia Applications,” Communications of the ACM, vol. 34, No. 4, pp. 47-58 (Apr. 1991).
ITU-T, “ITU-T Recommendation H.263 Video Coding for Low Bit Rate Communication,” (Feb. 1998).
Lee et al., “A Layered Video Object Coding System Using Sprite and Affine Motion Model, IEEE Transactions on Circuits and Systems for Video Technology,” vol. 7, No. 1, pp. 130-145 (Feb. 1997).
Pennebaker et al., “JPEG Still Image Data Compression Standard,” Chapter 20, pp. 325-329 (1993).
Rui et al., “Digital Image/Video Library and MPEG-7: Standardization and Research Issues,” ICASSP '98.
Wang et al., “Error Control and Concealment for Video Communication: A Review,” Proc. IEEE, vol. 86, No. 5, pp. 974-997 (May 1998).
ISO, ISO/IEC JTC1/SC29/WG11 MPEG 97/N1642, “MPEG-4 Video Verification Model Version 7.0 3. Encoder Definition,” pp. 1, 17-122 Bristol (Apr. 1997).
Chang et al., “Next Generation Content Representation, Creation, and Searching for New-Media Applications in Education,” Proc. IEEE, vol. 86, No. 5, pp. 884-904 (1998).
Yu et al., “Two-Dimensional Motion Vector Coding for Low Bitrate Videophone Applications,” Proc. Int'l Conf. On Image Processing, Los Alamitos, US, pp. 414-417, IEEE Comp. Soc. Press (1995).
IBM Technical Disclosure Bulletin, “Method to Deliver Scalable Video Across a Distributed Computer System,” vol. 37, No. 5, pp. 251-256 (1997).
Wiegand et al., “Motion-Compensating Long-Term Memory Prediction,” Proc. ICIP, Santa Barbara, CA, Oct. 1997, vol. 2, pp. 53-56 (1997).
Wiegand et al., “Block-Based Hybrid Coding Using Motion Compensated Long-Term Memory Prediction,” Picture Coding Symposium, Berlin, Germany, Sep. 1997, No. 143, pp. 153-158 (1997).
Wiegand et al., “Fast Search for Long-Term Memory Motion-Compensated Prediction,” Proc. ICIP, Chicago, IL, Oct. 1998, vol. 3, pp. 619-622 (1998).
ISO/IEC, 11172-2, “Information Technology—Coding of Moving Pictures and Associated Audio for Digital Storage Media at up to about 1,5 Mbit/s—Part 2: Video,” pp. i-ix and 1-113 (1993).
Sullivan, “Draft for ‘H.263++’ Annexes U, V, and W to Recommendation H.263,” ITU-T, Study Group 16, Question 15, 46 pp. (2000).
Wiegand, “Multi-frame Motion-Compensated Prediction for Video Transmission,” Shaker Verlag, 141 pp. (2000).
Farber et al., “Robust H.263 Compatible Video Transmission for Mobile Access to Video Servers,” Proc. Int. Conf. Image Processing (ICIP '97), 4 pp. (1997).
Karczewicz et al., “The SP- and SI-Frames Design for H.264/AVC,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 13, No. 7, pp. 637-644 (2003).
Wenger et al., “Simulation Results for H.263+ Error Resilience Modes K, R, N on the Internet,” ITU-T, Study Group 16, Question 15, 22 pp. (Apr. 1998).
Cote et al., “Effects of Standard-compliant Macroblock Intra Refresh on Rate-distortion Performance,” ITU-T, Study Group 16, Question 15, 2 pp. (Jul. 1998).
Wenger et al., “Intra-macroblock Refresh in Packet (Picture) Lossy Scenarios,” ITU-T, Study Group 16, Question 15, 3 pp. (Jul. 1998).
Lee Ming-Chieh
Wang Albert Szu-chi
Klarquist & Sparkman, LLP
Microsoft Corporation
Najjar Saleh
LandOfFree
Media coding for loss recovery with remotely predicted data... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Media coding for loss recovery with remotely predicted data..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Media coding for loss recovery with remotely predicted data... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3466111