| Paper: | AE-L1.6 | ||
| Session: | Audio Structure, Similarity and Segmentation | ||
| Time: | Tuesday, May 16, 12:10 - 12:30 | ||
| Presentation: | Lecture | ||
| Topic: | Audio and Electroacoustics: Applications to Music | ||
| Title: | Comparing Audio and Video Segmentations for Music Videos Indexing | ||
| Authors: | Olivier Gillet, Gaël Richard, GET / Télécom Paris, France | ||
| Abstract: | Music videos are good examples of multimedia documents in which the structures of the audio and video streams are highly correlated. This paper presents a system that matches these structures and extracts correlation measures. Audio segmentation is performed at the event level by detecting onsets, and at a higher level by a novelty detection algorithm identifying instrumentation changes. Video segmentation is performed by detecting changes in the motion intensity descriptor, and at the shot level by using a classical histogram-based shot detection algorithm. Audio-visual correlation measures are computed on the extracted structures. Possible applications include video retrieval from audio content or classification of music videos by genre. | ||
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