Title
Shape refreshment need metric for object-based resilient video coding
Abstract
Although there are several techniques that video encoders may use to improve error resilience, it is largely recognized that intra coding refreshment plays a major role. This technique is especially useful for video encoders that rely on predictive (inter) coding to remove temporal redundancy because, in these conditions, the decoded quality can decay very rapidly due to error propagation if errors occur in the transmission or storage of the coded streams. Therefore, in order to avoid error propagation for too long a time, the encoder can use a coding refreshment scheme to refresh the decoding process and stop (spatial and temporal) error propagation. In the context of object-based video coding, the video encoder can apply intra coding refreshment to both the shape and the texture data. A shape refreshment need metric is proposed which can be used by object-based video encoders, notably MPEG-4 video encoders, to determine when the shape of a given video object should be refreshed in order to improve the decoded video quality.
Year
DOI
Venue
2002
10.1109/ICIP.2002.1037987
Image Processing. 2002. Proceedings. 2002 International Conference  
Keywords
Field
DocType
code standards,data compression,decoding,image texture,prediction theory,telecommunication standards,video coding,MPEG-4 coding standard,MPEG-4 video encoders,coded streams storage,coded streams transmission,decoded video quality,decoding,intra coding refreshment,object-based resilient video coding,predictive coding,shape refreshment need metric,spatial error propagation,temporal error propagation,temporal redundancy removal,texture data,video encoders,video object
Computer vision,Video processing,Coding tree unit,Computer science,Multiview Video Coding,Real-time computing,Video tracking,Artificial intelligence,Video quality,Rate–distortion optimization,Video compression picture types,Scalable Video Coding
Conference
Volume
ISSN
Citations 
1
1522-4880
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Luis Ducla Soares122627.77
Fernando Pereira2177172124.79