Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
Efficient profile matching for large scale Webcasting
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Efficient and cost-effective techniques for browsing and indexing large video databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
A Context-Aware Decision Engine for Content Adaptation
IEEE Pervasive Computing
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Efficient matching and clustering of video shots
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Automatic Video Scene Extraction by Shot Grouping
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
IEEE Transactions on Knowledge and Data Engineering
A General Framework for Temporal Video Scene Segmentation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Multimedia content personalization based on peer-level annotation
Proceedings of the seventh european conference on European interactive television conference
Video scene detection using graph-based representations
Image Communication
High level video temporal segmentation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Adapting multimedia Internet content for universal access
IEEE Transactions on Multimedia
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
A Survey on Visual Content-Based Video Indexing and Retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Video scene segmentation by improved visual shot coherence
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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The Content Personalization area, in digital videos domain, makes use of segmentation techniques to facilitate the processing of large data amounts while performing services as content selection or recommendation. Current researches have been directed to scene segmentation, which is based on clustering related shots. In this context, it is relevant to properly characterize shots using descriptors, because a good shot descriptor has potential to contribute to the improving of scene segmentation techniques already developed and, consequently, improve Content Personalization services. Our work aims to evaluate descriptors based on histograms for shot characterization. We present comparative results of scene segmentation by shot clustering using two approaches for shot representation: key frame and average histogram. The experiments were performed in two video domains: movies and television news. The results show that there aren't significant advantages between the approaches investigated and that they don't present good performance in assisting to identify scenes, showing the need of more research on new methods on shot representation.