Multi-view video coding based on sequence correlation

Traditional coding method used the same prediction structure to encode the multi-view sequences whose correlation are distinctly different. This method eliminated the temporal and spatial redundancy by using multi-references blindly. Although the traditional prediction structures have quite good cod...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2010 International Conference on Audio, Language and Image Processing s. 1227 - 1232
Hlavní autoři: Feng Lu, Ping An, Zhaoyang Zhang, Liquan Shen
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.11.2010
Témata:
ISBN:1424458560, 9781424458561
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Traditional coding method used the same prediction structure to encode the multi-view sequences whose correlation are distinctly different. This method eliminated the temporal and spatial redundancy by using multi-references blindly. Although the traditional prediction structures have quite good coding efficiency, it results in the problem of high complexity. So by analyzing the characteristic of the multiview video data itself, we designed a correlation testing structure and depending on the correlation intensity on both the temporal and spatial direction, a method of multiple prediction structures coding jointly is proposed. Experimental results show that the proposed method can reduce the coding complexity while maintaining high coding efficiency, and to the sequences whose spatial correlation is quite strong, the method given can not only raise the PSNR, but reduce the bitrate as well.
ISBN:1424458560
9781424458561
DOI:10.1109/ICALIP.2010.5685139