Fundamentals of speech recognition
Fundamentals of speech recognition
Automatic partitioning of full-motion video
Multimedia Systems
Theoretical Computer Science
Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Video parsing and browsing using compressed data
Multimedia Tools and Applications
Heuristic approach for generic audio data segmentation and annotation
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Classification of general audio data for content-based retrieval
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Multimedia Systems - Special section on video libraries
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
A comparative study on content-based music genre classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A probabilistic music recommender considering user opinions and audio features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
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
A novel framework for efficient automated singer identification in large music databases
ACM Transactions on Information Systems (TOIS)
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
A speech/music discriminator based on RMS and zero-crossings
IEEE Transactions on Multimedia
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Musical sequences with actors dancing and lip-synching to songs sung by playback singers are integral parts, particularly of South Asian movies. Fans seek out movies for their songs and they often seek songs of a particular genre. In fact, song and dance sequence of South Asian movies are an industry of their own. Given the huge numbers of movies produced in South Asia over the past decades, most of which are in digital archives, it is an important problem to automatically extract and categorise their musical sequences. This paper proposes a system for musical sequences extraction from movies. Our method invokes an SVM-based classifier and makes as well a novel application of probabilistic timed automaton to distinguish musical sequences from non-musical. Our system analyses both audio and video signals to give a classifier that not only extracts musical sequences from movies but identifies their genre. We achieved a recall of 93.24% with precision of 87.34% in song extraction when applied on 10 popular Bollywood movies. An accuracy of 89.5% has been achieved on Bollywood song genre identification.