PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Improving automatic video retrieval with semantic concept detection
Markus Koskela, Mats Sjöberg and Jorma Laaksonen
In: 16th Scandinavian Conference on Image Analysis, 15-18 Jun 2009, Oslo, Norway.


We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, which combine text-based search, content-based retrieval, and concept-based retrieval, is presented. The experiments use the common video data and sets of queries from three successive TRECVID evaluations. By including concept detectors, we observe a consistent improvement on the search performance, despite the fact that the performance of the individual detectors is still often quite modest.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
Multimodal Integration
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:6592
Deposited By:Jorma Laaksonen
Deposited On:08 March 2010