A bandwidth and memory efficient MPEG-4 shape encoder
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
A fast automatic VOP generation using boundary block segmentation
Real-Time Imaging
A New Real Time Object Segmentation and Tracking Algorithm and its Parallel Hardware Architecture
Journal of VLSI Signal Processing Systems
A new real time object segmentation and tracking algorithm and its parallel hardware architecture
Journal of VLSI Signal Processing Systems
Recent advances in rate control for video coding
Image Communication
Energy-efficient Hardware Accelerators for the SA-DCT and Its Inverse
Journal of VLSI Signal Processing Systems
Energy-efficient acceleration of MPEG-4 compression tools
EURASIP Journal on Embedded Systems
Quasi-Bezier curves integrating localised information
Pattern Recognition
Compact representation of contours using directional grid chain code
Image Communication
Dynamic Bezier curves for variable rate-distortion
Pattern Recognition
Moving Video Object Edge Detection Using Complex Wavelets
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Geometric distortion measurement for shape coding: A contemporary review
ACM Computing Surveys (CSUR)
The chordlet transform with an application to shape compression
Image Communication
Hi-index | 0.00 |
MPEG-4 is the most recent standard for audio-visual representation to be published by the International Organization for Standardization. One of the many new features of MPEG-4 is its ability to represent two-dimensional video objects of arbitrary shape. For this purpose, MPEG-4 uses the conventional motion-compensated discrete cosine transform syntax for color/texture coding and augments this with an explicit compressed representation of the video object's shape. This paper is intended as a tutorial in the means of encoding and decoding arbitrarily shaped video objects as specified by MPEG-4. The major emphasis of the paper is on explaining the compression technology associated with the normative shape representation, i.e., block-based context-based arithmetic encoding, but some new aspects associated with arbitrarily shaped texture coding are also highlighted. The MPEG-4 specifications are presented in an informal way, and the motivations underlying the algorithm are clarified. In addition, effective methods are suggested for performing many of the nonnormative encoding tasks, and several encoding performance tradeoffs are illustrated