论文信息 - Region feature based similarity searching of semantic video objects

Region feature based similarity searching of semantic video objects

New video representations based on semantic objects (e.g., MPEG-4) provide great potential for content-based video searching. In this paper we present an efficient query model for similarity searching of video objects based on localized region features and spatial-temporal structures. The query model is barred on an existing framework on region-level video query, but addresses several new issues like right spatio-temporal relationships effective performance of the proposed approach.

Shih-Fu Chang | Di Zhong | Shih-Fu Chang | D. Zhong

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