Abstract | ||
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With the rapid development of multimedia technology, video transmission over error prone channels is widely used. Using predictive video coding can lead to temporal and spatial propagation of channel errors, which consequently results in high degradation in the quality of the received video. In order to address this problem different error resilient methods have been proposed. In this paper, a number of the error resilient methods based on reference frame modification are overviewed briefly and examined with scalable extension of H.264/AVC (SVC). We propose a new method based on hierarchical structure used in temporal scalable coding. Average gains of 0.76 dB over the improved generalized source channel prediction (IGSCP) method and 2.26 dB over normal coding are achieved. |
Year | DOI | Venue |
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2010 | 10.1109/MMSP.2010.5662019 | Multimedia Signal Processing |
Keywords | Field | DocType |
adaptive codes,channel coding,code standards,error statistics,video coding,video streaming,AVC,H.264,IGSCP,error prone channels,error resilient methods,improved generalized source channel prediction,multimedia technology,reference frame modification method,scalable video coding,video transmission | Reference frame,Coding tree unit,Computer science,Communication channel,Coding (social sciences),Real-time computing,Decoding methods,Scalable Video Coding,Context-adaptive binary arithmetic coding,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4244-8111-8 | 3 | 0.43 |
References | Authors | |
9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amir Naghdinezhad | 1 | 8 | 2.26 |
Fabrice Labeau | 2 | 294 | 57.06 |