Mining movies to extract song sequences

Authors:
Sher Muhammad Doudpota;Sumanta Guha
Affiliations:
CSIM, Asian Institute of Technology, Bangkok, Thailand;CSIM, Asian Institute of Technology, Bangkok, Thailand
Venue:
Proceedings of the Eleventh International Workshop on Multimedia Data Mining
Year:
2011

Citing 8
Cited 0

Automatic partitioning of full-motion video

Multimedia Systems
A theory of timed automata

Theoretical Computer Science
Classification of general audio data for content-based retrieval

Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Real-time discrimination of broadcast speech/music

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Indexing of fictional video content for event detection and summarisation

Journal on Image and Video Processing
Theories of automata on ω-tapes: A simplified approach

Journal of Computer and System Sciences
A speech/music discriminator based on RMS and zero-crossings

IEEE Transactions on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a system to automatically locate and extract songs from digitized movies. We focus on the genre of Bollywood movies. A song grammar particularly applicable to this genre is proposed and used subsequently to construct a probabilistic timed automaton to differentiate songs. The proposed system has been implemented and test results indicate both high precision and recall. Songs being a major driver in the success of Bollywood movies, a potentially significant application of the proposed system lies in automatically mining the vast Bollywood movie archives.