TY - GEN
T1 - Multimedia information retrieval using fuzzy cluster-based model learning
AU - Sattari, Saeid
AU - Yazici, Adnan
N1 - Funding Information:
ACKNOWLEDGMEN This work is supported by the research grant from TUBITAK with the grant number “114R0182.”
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - Multimedia data, particularly digital videos, which contain various modalities (visual, audio, and text) are complex and time consuming to model, process, and retrieve. Therefore, efficient methods are required for retrieval of such complex data. In this paper, we propose a multimodal query level fusion approach using a fuzzy cluster-based learning method to improve the retrieval performance of multimedia data. Experimental results on a real dataset demonstrate that employing fuzzy clustering achieves notable improvement in the concept-based query retrieval performance.
AB - Multimedia data, particularly digital videos, which contain various modalities (visual, audio, and text) are complex and time consuming to model, process, and retrieve. Therefore, efficient methods are required for retrieval of such complex data. In this paper, we propose a multimodal query level fusion approach using a fuzzy cluster-based learning method to improve the retrieval performance of multimedia data. Experimental results on a real dataset demonstrate that employing fuzzy clustering achieves notable improvement in the concept-based query retrieval performance.
UR - http://www.scopus.com/inward/record.url?scp=85030147940&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030147940&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2017.8015717
DO - 10.1109/FUZZ-IEEE.2017.8015717
M3 - Conference contribution
AN - SCOPUS:85030147940
T3 - IEEE International Conference on Fuzzy Systems
BT - 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Y2 - 9 July 2017 through 12 July 2017
ER -