Using Regional Information in Language Model Based Automatic Concept Annotation and Retrieval Of Video
Dietrich Klakow · 2006
In this paper we propose the use of regional information for the TREC video retrieval task of retrieving key-frames showing specific concepts in the image. We observe that the presence of a certain visual feature (e.g. color) is a strong indicator for a concept in particular if it occurs in a certain region of the image. We use this observation in a language model based image retrieval framework. This approach improves mean average precision from 0.187 (HMM based approach by Ghoshal et al.) to 0.221