An efficient object based personal video coding system

Authors:
Cataldo Guaragnella;Tiziana D'Orazio
Affiliations:
Electrics and Electronics Department, Politecnico di Bari, DEE, Bari, Italy;C.N.R., Institute of Intelligent Systems for Automation, Bari, Italy
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

Citing 3
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Abstract

A motion based unsupervised neural network approach to motion segmentation is addressed, and embedded in an automatic object based coding system. The motion estimation phase is carried out by an arbitrarily shaped object oriented block based technique (S-BMA). An efficient polynomial motion model is used to describe motion fields and jointly segment images into background-foreground. The proposed technique is embedded in a H.263-like coding system and tested on the foreman sequence. Preliminary results on standard video sequence seem promising.