Paper Info
Title
A video grammar-based approach for TV news localization and intra-structure identification in TV streams
Abstract
The growing number of TV channels led to an expansion of the mass of video documents produced and broadcast on TV channels according to precise rules (e.g. consideration of the graphic charter, recurring of studios...). Thus, the use of a priori knowledge deduced from these rules contributes to the amelioration of the quality of segmentation and indexing of video documents. However, the effectiveness of automatic video segmentation works depends on video type. So, for a better quality of the segmentation, it is necessary to consider a priori knowledge concerning video types. In this context, this paper suggests an approach based on video grammar to identify programs in TV streams and deduce their internal structure. This approach attempts to automatically extract a priori knowledge to conceive the grammar descriptors. The study case of TV news programs is selected to validate the adopted approach since it is one of the most important types of multimedia content.
Year
DOI
Venue
2011
10.1007/978-3-642-24088-1_47
ICIAP (2)
Keywords
Field
DocType
video type,tv news program,automatic video segmentation work,video document,approach attempt,grammar descriptors,tv news localization,video grammar-based approach,tv stream,intra-structure identification,video grammar,better quality,tv channel
Broadcasting,Computer vision,Segmentation,Computer science,A priori and a posteriori,Communication channel,Search engine indexing,Grammar,Video tracking,Artificial intelligence
Conference
Volume
Issue
ISSN
6979
II
0302-9743
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Tarek Zlitni143.14
Walid Mahdi211625.49
Hanêne Ben-Abdallah339871.57