Fundamentals of speech recognition
Fundamentals of speech recognition
Automatic partitioning of full-motion video
Multimedia Systems
Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Speech recognition: theory and C++ implementation
Speech recognition: theory and C++ implementation
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Data mining: concepts and techniques
Data mining: concepts and techniques
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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
Prediction, Learning, and Games
Prediction, Learning, and Games
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)
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
Speech/music discrimination for multimedia applications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
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)
Online Speech Detection and Dual-Gender Speech Recognition for Captioning Broadcast News
IEICE - Transactions on Information and Systems
Sentiment analysis of social media content using N-Gram graphs
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
A speech/music discriminator based on RMS and zero-crossings
IEEE Transactions on Multimedia
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
Content-based movie analysis and indexing based on audiovisual cues
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Neural Networks
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Music and songs are integral parts of Bollywood movies. Every movie of two to three hours, contains three to ten songs, each song is 3---10 min long. Music lovers like to listen music and songs of a movie, however it is time consuming and error prone to search manually all the songs in a movie. Moreover, the task becomes much harder when songs are to be extracted from a huge archived movies' database containing hundreds of movies. This paper presents an approach to automatically extract music and songs from archived musical movies. We used song grammar to construct Markov Chain Model that differentiates song scenes from dialogue and action scenes in a movie. We tested our system on Bollywood, Hollywood, Pakistani, Bengali, and Tamil movies. A total of 20 movies from different industries were selected for the experiments. On Bollywood movies, we achieved 97.22% recall in song extraction, whereas the recall on Hollywood musical movies is 80%. The test result on Pakistani, Tamil and Bengali movies is 87.09%.