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Jia-Yu Pan, Hyungjeong Yang, and Christos Faloutsos. MMSS: Multi-modal Story-oriented Video Summarization. In Proceedings
of the Fourth IEEE International Conference on Data Mining (ICDM 04), 2004.
Brighton, UK, November 01-04, 2004
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.
@InProceedings{ICDM04MMSS,
author = {Jia-Yu Pan and Hyungjeong Yang and Christos Faloutsos},
title = {MMSS: Multi-modal Story-oriented Video Summarization},
booktitle = {Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM 04)},
year = 2004,
wwwnote = {Brighton, UK, November 01-04, 2004},
abstract = {We propose multi-modal story-oriented video summarization (<i>MMSS</i>) which, unlike previous works that use fine-tuned, domain-specific heuristics, provides a domain-independent, <i>graph-based</i> 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.},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Multimedia Data Mining},
}
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