Scalable Motion Vector Coding Based on CABAC for MC-EZBC

• Published in: IEEE transactions on circuits and systems for video technology Vol. 17; no. 6; pp. 790 - 795
• Main Authors: Yongjun Wu, Woods, J.W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Alphabet general partition (AGP); Applied sciences; Arithmetic; Arithmetic coding; Bit rate; Circuit properties; Circuits; Coders; Coding, codes; Degradation; Electric, optical and optoelectronic circuits; Electronic circuits; Electronics; Exact sciences and technology; Filtering; Image processing; Information, signal and communications theory; layered structure coding; Mathematical analysis; Motion analysis; motion compensated temporal filtering; Proposals; PSNR; Scalability; scalable motion vector coding; scalable video coding; Signal and communications theory; Signal convertors; Signal processing; Symbols; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Temporal logic; Transmission and modulation (techniques and equipments); Vectors (mathematics); Video coding; Visual; Wavelet transforms; Alphabet; Video coding; Scalability; scalable video coding; Video signal processing; Accuracy; Motion compensation; High bit rate; Low bit rate; High rate transmission; Filtering; scalable motion vector coding; Motion estimation; Coding circuit; Binary coding; Temporal logic; Adaptive coding; Alphabet general partition (AGP); Time resolution; layered structure coding; motion compensated temporal filtering; Visual impairment; Arithmetic code; Signal processing; Signal to noise ratio
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2007.894043

In the scalable video coder MC-EZBC, the motion-vector (MV) bitstream was not scalable in bitrate or resolution. In this short paper, we enhance MC-EZBC with a new scalable MV coder based on context adaptive binary arithmetic coding. Alphabet general partition of MV symbols is proposed to achieve accuracy or quality scalability of MVs. A selective layered structure is used to reduce the number of MVs transmitted when appropriate, mainly needed for resolution scalability. With these two additions, we have a layered temporal, SNR, and resolution scalability for the MV bitstream. Experimentally, we find that this gives significant visual and objective improvement for low bitrates and/or resolutions with only very slight PSNR loss and unnoticeable visual loss at high bitrates