Segmentation, structure detection and summarization of multimedia sequences
Segmentation, structure detection and summarization of multimedia sequences
IEEE Transactions on Signal Processing
The networked home as a user-centric multimedia system
Proceedings of the 2004 ACM workshop on Next-generation residential broadband challenges
A similarity measure for motion stream segmentation and recognition
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Segmentation and recognition of motion streams by similarity search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Segmentation and recognition of motion capture data stream by classification
Multimedia Tools and Applications
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This paper deals with phrase structure detection in contemporary western dance. Phrases are a sequence of movements that exist at a higher semantic abstraction than gestures. The problem is important since phrasal structure in dance, plays a key role in communicating meaning. We detect two fundamental dance structures - ABA and the Rondo, as they form the basis for more complex movement sequences. There are two key ideas in our work - (a) the use of a topological framework for deterministic structure detection and (b) novel phrasal distance metrics. The topological graph formulation succinctly captures the domain knowledge about the structure. We show how an objective function can be constructed given the topology. The minimization of this function yields the phrasal structure and phrase boundaries. The distance incorporates both movement and hierarchical body structure. The results are excellent with low median error of 7% (ABA) and 15% (Rondo).