Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Structural analysis of musical signals for indexing and thumbnailing
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Music summarization using key phrases
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Discovering nontrivial repeating patterns in music data
IEEE Transactions on Multimedia
Content-based music structure analysis with applications to music semantics understanding
Proceedings of the 12th annual 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
Multimodal content-based structure analysis of karaoke music
Proceedings of the 13th annual ACM international conference on Multimedia
Automatic Structure Detection for Popular Music
IEEE MultiMedia
Automatic summarization of music videos
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards structural analysis of audio recordings in the presence of musical variations
EURASIP Journal on Applied Signal Processing
A Framework for Music Content Description and Retrieval
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
Automatic and instant ring tone generation based on music structure analysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Music information retrieval using social tags and audio
IEEE Transactions on Multimedia - Special section on communities and media computing
Histogram matching for music repetition detection
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A fast algorithm for automatic key segment extraction for popular songs
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Modeling music as a dynamic texture
IEEE Transactions on Audio, Speech, and Language Processing
MUSIZ: a generic framework for music resizing with stretching and cropping
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Structural and semantic modeling of audio for content-based querying and browsing
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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Music thumbnailing (or music summarization) aims at finding the most representative part of a song, which can be used for web browsing, web searching and music recommendation. Three strategies are proposed in this paper for automatically generating the thumbnails of music. All the strategies are based on the results of music structural analysis, which identifies the recurrent structure of musical signals. Instead of being evaluated subjectively, the generated thumbnails are evaluated by several criteria, mainly based on previous human experiments on music thumbnailing and the properties of thumbnails used for commercial web sites. Additionally, the performance of the structural analysis is demonstrated visually using figures for qualitative evaluation, and by three novel structural similarity metrics for quantitative evaluation. The preliminary results obtained using a corpus of Beatles' songs demonstrate the promise of our method and suggest that different thumbnailing strategies might be proper for different applications.