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CIVR
2007
Springer

Video search in concept subspace: a text-like paradigm

10 years 7 months ago
Video search in concept subspace: a text-like paradigm
Though both quantity and quality of semantic concept detection in video are continuously improving, it still remains unclear how to exploit these detected concepts as semantic indices in video search, given a specific query. In this paper, we tackle this problem and propose a video search framework which operates like searching text documents. Noteworthy for its adoption of the well-founded text search principles, this framework first selects a few related concepts for a given query, by employing a tf-idf like scheme, called c-tf-idf, to measure the informativeness of the concepts to this query. These selected concepts form a concept subspace. Then search can be conducted in this concept subspace, either by a Vector Model or a Language Model. Further, two algorithms, i.e., Linear Summation and Random Walk through Concept-Link, are explored to combine the concept search results and other baseline search results in a reranking scheme. This framework is both effective and efficient. U...
Xirong Li, Dong Wang, Jianmin Li, Bo Zhang
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIVR
Authors Xirong Li, Dong Wang, Jianmin Li, Bo Zhang
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