DocumentCode
3311181
Title
Low power losssless compression of real time MPEG4 video encoding and decoding using VHDL and MATLAB
Author
Prasad, Aswathy ; Krishnan, Kamya ; Karthika ; Parvathy ; Megalingam, Rajesh Kannan
Author_Institution
Dept. of Electron. & Commun., Amrita Vishwa Vidyapeetham, Kollam, India
fYear
2009
fDate
8-11 Aug. 2009
Firstpage
408
Lastpage
412
Abstract
This paper presents a simple model of complex real time MPEG-4 video encoding and decoding using simple techniques in VHDL and MATLAB to provide reasonable compression while using only less power and resources on FPGA. This implementation works on low power and less number of clock cycles. The basic video codec module consists of a video encoder and a decoder. The encoder module consists of blocks for temporal modeling, spatial modeling and entropy encoding. Temporal block has a difference block whereas spatial block consists of 2D DCT, quantizer and a 2D IDCT. Sample frames of real time video has been processed using the codec module resulting in an average compression of 64.6% It can be applied in areas where low bit rate, high quality video is required. The first 5 sections in this paper represents the concepts and theories used, section 6 onwards represents the actual implementation of the module.
Keywords
data compression; decoding; discrete cosine transforms; entropy codes; field programmable gate arrays; hardware description languages; low-power electronics; mathematics computing; video codecs; video coding; 2D IDCT; FPGA; MATLAB; VHDL; decoding; entropy encoding; low power lossless compression; quantizer; real time MPEG4 video encoding; spatial modeling; temporal modeling; video codec; Clocks; Decoding; Encoding; Entropy; Field programmable gate arrays; MATLAB; MPEG 4 Standard; Mathematical model; Video codecs; Video compression; Discrete Cosine Transform; Entropy encoding; MPEG-4 video codec; Spatial modeling; Temporal modeling; VLC;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4519-6
Electronic_ISBN
978-1-4244-4520-2
Type
conf
DOI
10.1109/ICCSIT.2009.5234530
Filename
5234530
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