WordNet: a lexical database for English
Communications of the ACM
Successful approaches in the TREC video retrieval evaluations
Proceedings of the 12th annual ACM international conference on Multimedia
Multimedia information retrieval: what is it, and why isn't anyone using it?
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Mutual relevance feedback for multimodal query formulation in video retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Using score distributions for query-time fusion in multimediaretrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Estimating average precision with incomplete and imperfect judgments
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Content-based video retrieval: Three example systems from TRECVid
International Journal of Imaging Systems and Technology - Multimedia Information Retrieval
FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
A survey of pre-retrieval query performance predictors
Proceedings of the 17th ACM conference on Information and knowledge management
Boosting image retrieval through aggregating search results based on visual annotations
MM '08 Proceedings of the 16th ACM international conference on Multimedia
CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
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Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we study the impact of exploiting different knowledge sources in order to automatically retrieve query visual examples relevant to a video retrieval task. Our hypothesis is that the exploitation of external knowledge sources can help on the identification of query semantics as well as on improving the understanding of video contents. We propose a set of techniques to automatically obtain additional query visual examples from different external knowledge sources, such as DBPedia, Flickr and Google Images, which have different coverage and structure characteristics. The proposed strategies attempt to exploit the semantics underlying the above knowledge sources to reduce the ambiguity of the query, and to focus the scope of the image searches in the repositories. We assess and compare the quality of the images obtained from the different external knowledge sources when used as input of a number of video retrieval tasks. We also study how much they complement manually provided sets of examples, such as those given by TRECVid tasks. Based on our experimental results, we report which external knowledge source is more likely to be suitable for the evaluated retrieval tasks. Results also demonstrate that the use of external knowledge can be a good complement to manually provided examples and, when lacking of visual examples provided by a user, our proposed approaches can retrieve visual examples to improve the user's query.