Fourth IEEE International Conference on Data Mining (ICDM'04) MMSS: Multi-Modal Story-Oriented Video Summarization Brighton, United Kingdom November 01-November 04 ISBN: 0-7695-2142-8
We propose multi-modal story-oriented video summarization (MMSS) which, unlike previous works that use fine-tuned, domain-specific heuristics, provides a domain-independent, graph-based framework. MMSS uncovers correlation between information of different modalities which gives meaningful story-oriented news video summaries. MMSS can also be applied for video retrieval, giving performance that matches the best traditional retrieval techniques (OKAPI and LSI), with no fine-tuned heuristics such as tf/idf.
Citation:
Jia-Yu Pan, Hyungjeong Yang, Christos Faloutsos, "MMSS: Multi-Modal Story-Oriented Video Summarization," icdm, pp.491-494, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||