DocumentCode
3277182
Title
A novel multiple description video coding based on data reuse
Author
Meng Dong ; Canhui Cai ; Kai-Kuang Ma
Author_Institution
Sch. of Inf. Sci. & Technol., Huaqiao Univ., Xiamen, China
fYear
2013
fDate
15-18 Sept. 2013
Firstpage
1928
Lastpage
1932
Abstract
A novel H.264-based multiple description coding (MDC) framework, called data reuse MDC (DR-MDC), is proposed in this paper. The input video sequence is first down-sampled by a factor of two in both horizontal and vertical directions, respectively, on each frame to generate four sub-sequences, followed by grouping them into two descriptions via the quincunx manner. In each description, one sub-sequence is directly encoded by applying the H.264/AVC encoder, while the other is examined at each macroblock (MB) to determine whether the encoding of the current MB should be conducted or skipped completely based on the following criterion: If the MB is considered locating in a homogeneous or still background region, the encoding process will be skipped. Otherwise, the neighboring prediction algorithm will be used to predict the pixel values of this MB, and the resultant prediction errors will be further encoded and transmitted. Experimental results have shown that the proposed DR-MDC scheme is more error resilient and yields better reconstructed video than the existing state-of-the-art MDC methods.
Keywords
data compression; image reconstruction; image sampling; image sequences; video codecs; video coding; DR-MDC framework; H.264-based multiple description video coding; H.264/AVC encoder; MB encoding; data reuse MDC framework; homogeneous region; horizontal directions; input video sequence down-sampling; macroblock encoding; neighboring prediction algorithm; pixel value prediction; prediction errors; quincunx grouping; still background region; subsequence encoding; subsequence generation; vertical directions; video reconstruction; H.264/AVC; data reuse; multiple description coding; neighboring prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/ICIP.2013.6738397
Filename
6738397
Link To Document