Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Music Information Retrieval by Detecting Mood via Computational Media Aesthetics
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic music video summarization based on audio-visual-text analysis and alignment
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language processing of lyrics
Proceedings of the 13th annual ACM international conference on Multimedia
An integrated music recommendation system
IEEE Transactions on Consumer Electronics
Electronic Commerce Research
Hi-index | 12.05 |
In this paper, we propose an integrated music video browsing system for personalized digital television. The system has the functions of automatic music emotion classification, automatic theme-based music classification, salient region detection, and shot classification. From audio (music) tracks, highlight detection and emotion classification are performed on the basis of information on temporal energy, timbre and tempo. For video tracks, shot detection is fulfilled to classify shots into face shots and color-based shots. Lastly automatic grouping of themes is executed on music titles and their lyrics. With a database of international music videos, we evaluate the performance of each function implemented in this paper. The experimental results show that the music browsing system achieves remarkable performances. Thus, our system can be adopted in any digital television for providing personalized services.