Title :
SSIM for video representing and matching
Author_Institution :
Nat. Center for High-performance Comput., Hsinchu, Taiwan
Abstract :
This paper propose a compact video representation using SSIM assessment for matching video sequences. As opposed to using the complex features extracting methods to analysis color and motion information through the sequence. We use the similarity index of successive frames to produce a representation of videos. We employ the SSIM assessment to represent a video for matching the same video within database. The experimental results show that the proposed approach permits accurate for video matching. The performance was found extremely satisfactory with determine all correct video in database.
Keywords :
feature extraction; image colour analysis; image matching; image representation; image sequences; video signal processing; visual databases; SSIM assessment; features extracting methods; image color analysis; motion information; structural similarity assessment; video representation; video sequence matching; Codecs; Feature extraction; Image coding; Image quality; Indexes; Video sequences; distence measuring; video represeantation; vodeo matching;
Conference_Titel :
Advanced Infocomm Technology (ICAIT), 2013 6th International Conference on
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4799-0464-8
DOI :
10.1109/ICAIT.2013.6621495
