Name
Title | ||
|---|---|---|
Perceptually driven video error protection using a distributed source coding approach |
Abstract | ||
|---|---|---|
In video communication systems, the video signals are typically compressed and sent to the decoder through an error-prone transmission channel that may corrupt the compressed signal, causing the degradation of the final decoded video quality. In this context, it is possible to enhance the error resilience of typical predictive video coding schemes using as inspiration principles and tools from an alternative video coding approach, the so-called Distributed Video Coding (DVC), based on the Distributed Source Coding (DSC) theory. Further improvements in the decoded video quality after error-prone transmission may also be obtained by considering the perceptual relevance of the video content, as distortions occurring in different regions of a picture have a different impact on the user's final experience. In this context, this paper proposes a Perceptually Driven Error Protection (PDEP) video coding solution that enhances the error resilience of a state-of-the-art H.264/AVC predictive video codec using DSC principles and perceptual considerations. To increase the H.264/AVC error resilience performance, the main technical novelties brought by the proposed video coding solution are: (i) design of an improved compressed domain perceptual classification mechanism; (ii) design of an improved transcoding tool for the DSC-based protection mechanism; and (iii) integration of a perceptual classification mechanism in an H.264/AVC compliant codec with a DSC-based error protection mechanism. The performance results obtained show that the proposed PDEP video codec provides a better performing alternative to traditional error protection video coding schemes, notably Forward Error Correction (FEC)-based schemes. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.image.2013.08.021 | Sig. Proc.: Image Comm. |
Keywords | Field | DocType |
traditional error protection video,video coding solution,decoded video quality,final decoded video quality,video communication system,proposed pdep video codec,alternative video,video error protection,proposed video,avc predictive video codec,typical predictive video,distributed source coding | Computer vision,Coding tree unit,Computer science,Motion compensation,Multiview Video Coding,Artificial intelligence,Video quality,Deblocking filter,Video compression picture types,Context-adaptive binary arithmetic coding,Scalable Video Coding | Journal |
Volume | Issue | ISSN |
29 | 1 | 0923-5965 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Seixas Dias | 1 | 1 | 2.39 |
| Catarina Brites | 2 | 563 | 41.30 |
| João Ascenso | 3 | 748 | 94.30 |
| Fernando Pereira | 4 | 17717 | 2124.79 |