Semantic concept extraction from sports video for highlight generation

Authors:
M. H. Kolekar;S. Sengupta
Affiliations:
Indian Institute of Technology, Kharagpur, India;Indian Institute of Technology, Kharagpur, India
Venue:
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Year:
2006

Citing 5
Cited 1

The power of play-break for automatic detection and browsing of self-consumable sport video highlights

Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective

IEEE Transactions on Knowledge and Data Engineering
HMM based structuring of tennis videos using visual and audio cues

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
A hierarchical framework for generic sports video classification

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Concept-oriented indexing of video databases: toward semantic sensitive retrieval and browsing

IEEE Transactions on Image Processing

Semantic concept mining in cricket videos for automated highlight generation

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

A multi-layered, hierarchical framework for generic sports event analysis has been proposed in this paper. Each layer uses different features such as short-time audio energy, short-time Zero Crossing Rate, color histogram, fractal dimension, motion, etc and classifiers such as Hidden Markov Model, threshold-based classifier, etc. We demonstrate our approach on sports video. The automated semantic concept extraction is ideally required for application such as highlight generation, indexing and retrieval.