Title :
Ontology-based automatic video annotation technique in smart TV environment
Author :
Jeong, Jin-Woo ; Hong, Hyun-Ki ; Lee, Dong-Ho
Author_Institution :
Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea
fDate :
11/1/2011 12:00:00 AM
Abstract :
Due to the recent explosive growth of smart TV and its applications, the need for multimedia contents analysis techniques for smart TV environment has dramatically increased. In particular, automatic video annotation and summarization technique is considered as one of the most important technique for smart TV because an enormous number of social videos are now becoming available as well as traditional digital videos such as TV programs and VODs. In this paper, we present an automatic video annotation technique which employs the ontologies to facilitate the video retrieval and sharing process in smart TV environment. In our work, ontologies are exploited to hierarchically describe the contents of video and facilitate the sharing of video contents among heterogeneous users or devices (e.g., smart phone, PDA, and so on). Through various experimental results, we show the effectiveness of the proposed approach.
Keywords :
content-based retrieval; digital television; multimedia communication; ontologies (artificial intelligence); video retrieval; video signal processing; automatic video annotation; digital videos; multimedia contents analysis; ontology; smart TV; social videos; summarization technique; video retrieval; video sharing; Feature extraction; Image color analysis; Multimedia communication; Ontologies; Semantics; TV; Visualization; IPTV; Ontology.; Smart TV; Video annotation;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2011.6131160