This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content. We note that the distribution of these features varies across topics. The paper shows how these distributions can be obtained through relevance feedback and how this allows for adaptation of (content-based) search results for topic or user preference. An analysis of the distribution of surface features in the TRECVID collection indicates that they are potentially useful, and a preliminary feedback experiment confirms that exploiting surface features can improve retrieval effectiveness. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Westerveld, T., De Vries, A. P., & Ramírez, G. (2006). Surface features in video retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3877 LNCS, pp. 180–190). https://doi.org/10.1007/11670834_15
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