TY - GEN
T1 - BASIL
T2 - 32nd European Conference on Information Retrieval, ECIR 2010
AU - Kim, Hung Sik
AU - Chang, Hau Wen
AU - Lee, Jeongkyu
AU - Lee, Dongwon
PY - 2010
Y1 - 2010
N2 - Finding near-duplicate images is a task often found in Multimedia Information Retrieval (MIR). Toward this effort, we propose a novel idea by bridging two seemingly unrelated fields - MIR and Biology. That is, we propose to use the popular gene sequence alignment algorithm in Biology, i.e., BLAST, in detecting near-duplicate images. Under the new idea, we study how various image features and gene sequence generation methods (using gene alphabets such as A, C, G, and T in DNA sequences) affect the accuracy and performance of detecting near-duplicate images. Our proposal, termed as BLASTed Image Linkage (BASIL), is empirically validated using various real data sets. This work can be viewed as the "first" step toward bridging MIR and Biology fields in the well-studied near-duplicate image detection problem.
AB - Finding near-duplicate images is a task often found in Multimedia Information Retrieval (MIR). Toward this effort, we propose a novel idea by bridging two seemingly unrelated fields - MIR and Biology. That is, we propose to use the popular gene sequence alignment algorithm in Biology, i.e., BLAST, in detecting near-duplicate images. Under the new idea, we study how various image features and gene sequence generation methods (using gene alphabets such as A, C, G, and T in DNA sequences) affect the accuracy and performance of detecting near-duplicate images. Our proposal, termed as BLASTed Image Linkage (BASIL), is empirically validated using various real data sets. This work can be viewed as the "first" step toward bridging MIR and Biology fields in the well-studied near-duplicate image detection problem.
UR - http://www.scopus.com/inward/record.url?scp=77952318432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952318432&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12275-0_22
DO - 10.1007/978-3-642-12275-0_22
M3 - Conference contribution
AN - SCOPUS:77952318432
SN - 3642122744
SN - 9783642122743
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 229
EP - 240
BT - Advances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010, Proceedings
PB - Springer Verlag
Y2 - 28 March 2010 through 31 March 2010
ER -