Semantic filtering of video content

Milind Ramesh Naphade; Thomas S. Huang

doi:10.1117/12.410936

1 January 2001 Semantic filtering of video content

Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410936
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Semantic filtering of multimedia content is a challenging problem. The gap that exists between low-level media features and high-level semantics of multimedia is difficult to bridge. We propose a flexible probabilistic graphical framework to bridge this gap to some extent and perform automatic detection of semantic concepts. Using probabilistic multimedia objects and a network of such objects we support semantic filtering. Discovering the relationships that exist between semantic concepts, we show how the detection performance can be improved upon. We show that concepts which may not be directly observed in terms of media features, can be inferred based on their relation with those that are already detected. Heterogeneous features also can be fused in the multinet. We demonstrate this by inferring the concept outdoor based on the five detected multijects sky, snow, rocks, water and forestry and a frame- level global-features based outdoor detector.

Citation Download Citation

Milind Ramesh Naphade and Thomas S. Huang "Semantic filtering of video content", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410936

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