TY - GEN
T1 - Grouping and summarizing scene images from web collections
AU - Yang, Heng
AU - Wang, Qing
PY - 2009
Y1 - 2009
N2 - This paper presents an efficient approach to group and summarize the large-scale image dataset gathered from the internet. Our method firstly employs the bag-of-visual-words model which has been successfully used in image retrieval applications to give the similarity between images and divides the large image collections into separated coarse groups. Next, in each group, we match the features between each pair of images by using an area ratio constraint which is an affine invariant. The number of matched features is taken as the new similarity between images, by which the initial grouping results are refined. Finally, one canonical image for one group is chosen as the summarization. The proposed approach is tested on two datasets consisting of thousands of images which are collected from the photo-sharing website. The experimental results demonstrate the efficiency and effectiveness of our method.
AB - This paper presents an efficient approach to group and summarize the large-scale image dataset gathered from the internet. Our method firstly employs the bag-of-visual-words model which has been successfully used in image retrieval applications to give the similarity between images and divides the large image collections into separated coarse groups. Next, in each group, we match the features between each pair of images by using an area ratio constraint which is an affine invariant. The number of matched features is taken as the new similarity between images, by which the initial grouping results are refined. Finally, one canonical image for one group is chosen as the summarization. The proposed approach is tested on two datasets consisting of thousands of images which are collected from the photo-sharing website. The experimental results demonstrate the efficiency and effectiveness of our method.
UR - http://www.scopus.com/inward/record.url?scp=72449178490&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10520-3_29
DO - 10.1007/978-3-642-10520-3_29
M3 - 会议稿件
AN - SCOPUS:72449178490
SN - 364210519X
SN - 9783642105197
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 315
EP - 324
BT - Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
T2 - 5th International Symposium on Advances in Visual Computing, ISVC 2009
Y2 - 30 November 2009 through 2 December 2009
ER -