Research on the technology of video semantic retrieval based on structured semantic strings

Abstract

To explore a concise and efficient approach to address video semantic retrieval problem, we creatively propose a concept of structured semantic string to realize video indexing and retrieval in this paper. Integrated with the technology of NLP (Natural Language Processing) and documents inverted index, our method could help represent information on sentence level so that computer could better understand videos' descriptions. In addition, expansion on synonyms and hypernyms contributes to comprehensive semantic expressing. Presently, the approach has been applied in our distributed video semantic retrieval system - Xunet, and it is proved to achieve high recall rate and precision rate. © 2011 Springer-Verlag Berlin Heidelberg.