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IEEE Transactions on Pattern Analysis and Machine Intelligence
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MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
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MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Video retrieval using spatio-temporal descriptors
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STRG-Index: spatio-temporal region graph indexing for large video databases
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Graph-Based spatio-temporal region extraction
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IEEE Transactions on Circuits and Systems for Video Technology
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MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Region-based video indexing systems have opened up new possibilities for the description of visual content. However, these systems are affected by spatial variations on the regions obtained from image segmentation algorithms and by the complexity of region matching techniques. In this paper, we propose to enhance these systems with the use of spatiotemporal regions. The indexing framework studied for that purpose is based on the Vector Space Model (VSM), which enables efficient and compact shot representation with count vectors. We analyse the properties of the VSM and show that shot description can be improved by considering spatio temporal representations. For evaluation, we further compare the performance of the system using the spatiotemporal and the keyframe approach. Experimental results show that the spatiotemporal approach is advantageous in terms of retrieval performance and robustness of the description.