Title :
A Low Complexity Scalable Video Compressor for Multiple Source Digit Home Set-Top Box
Author :
Tsai, Tsung-Han ; Lin, Hsueh-Yi
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chungli, Taiwan
Abstract :
Wireless digital home environment is now a trend to remove the unnecessary wires between different entertainment devices. To serve the multiple client and multiple video source request, a new video compressor for loss less and near loss less compression is one of the major components achieving wireless mobile, multiple access home entertainment system. Among loss less compression system, JPEG 2000 realizes SNR and size scalable loss less image compression, and video is also compressible via motion JPEG 2000 extension. This work presents a new loss less compression codec, the multiple source oriented scalable video compressor. Two important components from JPEG 2000 are extracted, namely LDWT and MQ-coder. According to the probability analysis, two pass quality driven bit plane sequencer is presented. A complete flowchart is constructed to conclude the proposed work. Quality driven magnitude refinement is also proposed to optimize the SNR scalability. According to the experiment results, the computation time of proposed work is almost one third of open JPEG (JEPG 2000) while the compression ratio is only 0.07 behind. According to the results, a computation-efficient size and SNR scalable codec is concluded.
Keywords :
computational complexity; entertainment; image motion analysis; image sequences; multi-access systems; set-top boxes; statistical analysis; video codecs; video coding; LDWT; MQ-coder; SNR scalability optimization; lossless compression codec; low complexity scalable video compressor; motion JPEG 2000 extension; multiple access home entertainment system; multiple source digit home set-top box; multiple source oriented scalable video compressor; multiple video source request; near lossless compression; openJPEG; probability analysis; quality driven bit plane sequencer; quality driven magnitude refinement; size scalable lossless image compression; wireless digital home environment; wireless mobile system; Codecs; Context; Encoding; Image coding; Scalability; Signal to noise ratio; Transform coding; JPEG 2000; Lossless compression; SNR scalability; WHDVI; image compression; quality driven bit plane sequencer; size scalability; video compression;
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
DOI :
10.1109/IBICA.2011.14