Extraction of foreground objects from an MPEG2 video stream in rough-indexing framework

Francesca Manerba; Jenny Benois-Pineau; Riccardo Leonardi

doi:10.1117/12.527358

18 December 2003 Extraction of foreground objects from an MPEG2 video stream in rough-indexing framework

Francesca Manerba, Jenny Benois-Pineau, Riccardo Leonardi

Proceedings Volume 5307, Storage and Retrieval Methods and Applications for Multimedia 2004; (2003) https://doi.org/10.1117/12.527358
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

In the domain of video indexing, one of the research topics is the automatic extraction of information to reach the objective of automatically describing and organizing the content. Thinking of a video stream, different kinds of information can be taken into account, but we can suppose that most of the information is contained in the foreground objects so that number of objects, their shape, their contours and so on, can constitute a good guess for the content description. This paper describes a new approach to extract foreground objects in MPEG2 video stream, in the framework of "rough indexing paradigm" we define. This paradigm leads us to reach the purpose in near real time, nevertheless maintaining a good level of details.

Citation Download Citation

Francesca Manerba, Jenny Benois-Pineau, and Riccardo Leonardi "Extraction of foreground objects from an MPEG2 video stream in rough-indexing framework", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.527358

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