Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
Graph Theory With Applications
Graph Theory With Applications
Systematic evaluation of logical story unit segmentation
IEEE Transactions on Multimedia
A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams
IEEE Transactions on Multimedia
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Automatic event-based indexing of multimedia content using a joint content-event model
Proceedings of the 2nd ACM international workshop on Events in multimedia
An unsupervised approach for recurrent tv program structuring
Proceddings of the 9th international interactive conference on Interactive television
Video scene segmentation by improved visual shot coherence
Proceedings of the 19th Brazilian symposium on Multimedia and the web
| Hi-index | 0.00 |
In this work the problem of automatic decomposition of video into elementary semantic units, known in the literature as scenes, is addressed. Two multi-modal automatic scene segmentation techniques are proposed, both building upon the Scene Transition Graph (STG). In the first of the proposed approaches, speaker diarization results are used for introducing a post-processing step to the STG construction algorithm, with the objective of discarding scene boundaries erroneously identified according to visual-only dissimilarity. In the second approach, speaker diarization and additional audio analysis results are employed and a separate audio-based STG is constructed, in parallel to the original STG based on visual information. The two STGs are subsequently combined. Preliminary results from the application of the proposed techniques to broadcast videos reveal their improved performance over previous approaches.