Paper Info
Title
Automatic object extraction and dynamic bitrate allocation for second generation video coding
Abstract
We describe a system for automatic objects extraction and dynamic bitrate allocation in a second generation object based video coder, targeting surveillance sequences. We combine model-based statistical change detection with a multiresolution-based approach for object extraction. Masks are redefined at a block level resolution and refined to improve the coding quality exploiting spatio-temporal considerations. We propose a dynamic adaptation of the quantization step of the MPEG-4 coder, based on motion information of the extracted objects. The results outperform traditional frame based coders at very low bit-rates. The masks proposed dramatically improve the coding performance, even when compared to ideally extracted masks.
Year
DOI
Venue
2002
10.1109/ICME.2002.1035826
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference  
Keywords
Field
DocType
arithmetic codes,data compression,feature extraction,image resolution,image sequences,statistical analysis,video coding,MPEG-4 coder,arithmetic coding,automatic object extraction,block level resolution,coding performance,coding quality,dynamic adaptation,dynamic bitrate allocation,frame based coders,masks,model-based statistical change detection,motion information,multiresolution-based approach,object based video coder,quantization step,second generation video coding,surveillance sequences,very low bit-rates,video codecs
Computer vision,Pattern recognition,Coding tree unit,Computer science,Motion compensation,Multiview Video Coding,Feature extraction,Video tracking,Artificial intelligence,Sub-band coding,Data compression,Context-adaptive binary arithmetic coding
Conference
Volume
Citations 
PageRank 
1
2
0.45
References 
Authors
2
4
Name
Order
Citations
PageRank
fulvio moschetti18810.40
Giuseppe Covitto220.45
Francesco Ziliani320.45
Alessandro Mecocci46014.38