In this paper we present a novel approach to semantic-theme-based video retrieval that considers entire videos as retrieval units and exploits automatically detected visual concepts to improve the results of retrieval based on spoken content. We deploy ...
Approaches involving the use of post-retrieval information for a given query have been adopted in a variety of ways in the past for query performance prediction (QPP) tasks. Researchers have utilized information via document retrieval as well as ...
In this paper, we present a technique for unsupervised construction of concept vectors, concept-based representations of complete video units, from the noisy shot-level output of a set of visual concept detectors. We deploy these vectors to improve ...
Association for Computing Machinery
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