Multi-group-multi-class domain adaptation for event recognition

作者：Feng, Yang; Wu, Xinxiao^*; Jia, Yunde

来源：IET Computer Vision, 2016, 10(1): 60-66.

DOI：10.1049/iet-cvi.2014.0405

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In this study, the authors propose a multi-group-multi-class domain adaptation framework to recognise events in consumer videos by leveraging a large number of web videos. The authors' framework is extended from multi-class support vector machine by adding a novel data-dependent regulariser, which can force the event classifier to become consistent in consumer videos. To obtain web videos, they search them using several event-related keywords and refer the videos returned by one keyword search as a group. They also leverage a video representation which is the average of convolutional neural networks features of the video frames for better performance. Comprehensive experiments on the two real-world consumer video datasets demonstrate the effectiveness of their method for event recognition in consumer videos.

• 出版日期2016-2
• 单位北京理工大学