Title : 
Inter-view Scalability and Prediction Multi-view Video Coding Scheme
         
        
            Author : 
Hai, Liu ; Lini, Ma ; Huayi, Lv
         
        
            Author_Institution : 
Comput. Sci. Sch., Beijing Inf. Sci. & Technol. Univ., Beijing, China
         
        
        
        
        
        
        
            Abstract : 
Since the data size of the multi-view video increases at a linear speed with the increase of cameras number, it is necessary to compress multi-view video data for efficient storage and transmission. An efficient typical multi-view video coding (MVC) coding scheme can exploit temporal, as well as inter-view dependencies between adjacent cameras. This paper discusses the correlation of views and temporal in the different temporal layer and random access performance. We proposes a novel MVC prediction structure based on the analysis of the MVC coding schemes. The prediction structure applies the concept of hierarchical B pictures to inter-view and inter-view prediction to no-anchor images of group of pictures (GOP). The coding scheme proposed achieves up to 0.8 dB gain compared to the MVC reference prediction coding scheme.
         
        
            Keywords : 
data compression; image sequences; random functions; video cameras; video coding; hierarchical B picture; inter-view prediction; inter-view scalability; multiview video coding scheme; no-anchor group image; picture group; random access; video compression; video data transmission; video sizing; Automatic voltage control; Cameras; Correlation; Encoding; Image coding; Redundancy; Video coding; Hierarchical B pictures; Inter-view prediction; Inter-view scalability; Multi-view viedo coding; Random access; Temporal and spatial redundancy;
         
        
        
        
            Conference_Titel : 
Information Technology and Applications (IFITA), 2010 International Forum on
         
        
            Conference_Location : 
Kunming
         
        
            Print_ISBN : 
978-1-4244-7621-3
         
        
            Electronic_ISBN : 
978-1-4244-7622-0
         
        
        
            DOI : 
10.1109/IFITA.2010.340