Title :
Synthesis-based texture coding for video compression with side information
Author :
Tae Oh, Byung ; Su, Yeping ; Segall, Andrew ; Kuo, C. C Jay
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Inst. Univ. of Southern California, Los Angeles, CA
Abstract :
This paper presents a synthesis-based texture coding technique that uses low-quality video as side information to control the output texture for video compression. As compared with the current pure synthesis algorithm, the proposed algorithm is generic, in the sense that the behavior and quality of the output texture can be adjusted by the amount of the side information and determined by the user. We develop an area-adaptive side information assignment technique to improve coding efficiency. Additionally, we present a fast-searching algorithm to reduce computational complexity. Simulations demonstrate the performance of the proposed technique.
Keywords :
data compression; image texture; video coding; area-adaptive side information assignment technique; computational complexity; fast-searching algorithm; synthesis-based texture coding technique; video compression; Computational complexity; Computational modeling; Decoding; Image coding; Image processing; Image texture analysis; Signal processing; Signal synthesis; Video coding; Video compression; synthesis-based coding; texture optimization; texture synthesis; video coding;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712083