Computer Science Department
School of Computer Science, Carnegie Mellon University


MMSS: Graph-Based Multi-modal Story-oriented
Video Summarization and Retrieval

Jia-Yu Pan, Hyungjeong Yang, Christos Faloutsos

August 2004

Keywords: Story summarization, multi-modal video summarization, video retrieval, random walk, graph application

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 correlations between information of different modalities and gives meaningful story-oriented news video summaries. MMSS can also be applied for video retrieval, achieving performance that matches the best traditional retrieval techniques (OKAPI and LSI), with no fine-tuned heuristics such as tf/idf.

24 pages

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