TY - GEN
T1 - An image indexing and searching system based both on keyword and content
AU - Zhang, Nan
AU - Song, Yonghua
PY - 2008
Y1 - 2008
N2 - Content-based image retrieval (CBIR) has certain advantages over those pure keyword-based. CBIR indexes images by visual features that are extracted from the images. This may save the effort spent on the manual annotation. However, because low-level visual features, such as colour and texture, often carry no high-level concepts, images retrieved purely based on content may not match with the intention of the user. The work presented in this paper is an image retrieval system that bases both on text annotations and visual contents. It indexes and retrieves images by both keywords and visual features, with the purpose that the keywords may mend the gap between the semantic meaning an image carries and its visual content. Tests were made on the system that have demonstrated that such a hybrid approach did improve retrieval precisions over those pure content-based.
AB - Content-based image retrieval (CBIR) has certain advantages over those pure keyword-based. CBIR indexes images by visual features that are extracted from the images. This may save the effort spent on the manual annotation. However, because low-level visual features, such as colour and texture, often carry no high-level concepts, images retrieved purely based on content may not match with the intention of the user. The work presented in this paper is an image retrieval system that bases both on text annotations and visual contents. It indexes and retrieves images by both keywords and visual features, with the purpose that the keywords may mend the gap between the semantic meaning an image carries and its visual content. Tests were made on the system that have demonstrated that such a hybrid approach did improve retrieval precisions over those pure content-based.
KW - Content-based image retrieval
KW - Hybrid image retrieval
KW - Keyword-based image retrieval
KW - MPEG-7
UR - http://www.scopus.com/inward/record.url?scp=56549098837&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-87442-3_127
DO - 10.1007/978-3-540-87442-3_127
M3 - Conference Proceeding
AN - SCOPUS:56549098837
SN - 3540874402
SN - 9783540874409
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1032
EP - 1039
BT - Advanced Intelligent Computing Theories and Applications
T2 - 4th International Conference on Intelligent Computing, ICIC 2008
Y2 - 15 September 2008 through 18 September 2008
ER -