DocumentCode
2964147
Title
Four-dimensional Vector Matrix DCT Integer Transform Codec Based on Multi-dimensional Vector Matrix Theory
Author
Liu, Lili ; Chen, Hexin ; Sang, Aijun ; Bao, Haojing
Author_Institution
Sch. of Commun. Eng., Jilin Univ. Changchun, Changchun, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
552
Lastpage
555
Abstract
This paper proposes a video compression scheme: four-dimensional vector matrix DCT integer transform (4D-VMICT) codec based on multi-dimensional vector matrix theory. In the scheme we proposes two models for the codec, which can eliminate temporal, spatial and statistical redundancy among the pixels in video sequence by use of the excellent concentration of the 4D-VMICT. Then an e-exponential function is used to quantization and it is verified to 2-exponential function in order to easily carrying out by shift operator. Finally, an improved zigzag scan order is carried out to produce consecutive zeros for subsequent entropy coding. After determining the proper parameter by experiment, the proposed method is tested on various standard test video sequences. The comparisons with the literature and MPEG-4 show the scheme´s superiority. Also the comparisons between 4D-VMICT and H.264/AVC show potential advantages at low bit rate with high activities sequences. At last, different properties about two models are summarized in the experiment results.
Keywords
codecs; data compression; discrete cosine transforms; matrix algebra; video coding; 4D-VMICT; H.264-AVC; MPEG-4; entropy coding; four-dimensional vector matrix DCT integer transform codec; multidimensional vector matrix theory; statistical redundancy; video compression; Automatic voltage control; Codecs; Discrete cosine transforms; Entropy coding; PSNR; Pixel; DCT; integer transform; multidimensional vector matrix DCT integer transform (MD-VMICT); scan order; video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.423
Filename
5750948
Link To Document