@inproceedings{cceeb3436e9245d49695e8ef531c3e1a,
title = "A multiple image group adaptation approach for event recognition in consumer videos",
abstract = "Event recognition in the consumer videos is a challenging task since it is difficult to collect a large number of labeled training videos. In this paper, we propose a novel Multiple kernel Image Group Adaptation approach to divide the training labeled Web images into several semantic groups and optimize the combinations of each based kernel. Our method simultaneously learns a kernel function and a robust Support Vector Regression (SVR) classifier by minimizing both the structure risk of SVR with the smooth assumption and the distribution difference of weighted image groups and the consumer videos. Comprehensive experiments on the datasets CCV and TREATED 2014 demonstrate the effectiveness of our method for event recognition.",
keywords = "Event recognition, Image group, Kernel learning, Transfer learning",
author = "Dengfeng Zhang and Wei Liang and Hao Song and Zhen Dong and Xinxiao Wu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Image and Graphics, ICIG 2015 ; Conference date: 13-08-2015 Through 16-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21978-3_16",
language = "English",
isbn = "9783319219776",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "176--187",
editor = "Yu-Jin Zhang",
booktitle = "Image and Graphics - 8th International Conference, ICIG 2015, Proceedings",
address = "Germany",
}