AdVR: linking ad video with products or service

Authors:
Shi Chen;Jinqiao Wang;Bo Wang;Ling-yu Duan;Qi Tian;Hanqin Lu
Affiliations:
Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China;Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China;Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China;Institute of Digital Media, School of EE & CS, Peking University, Beijing, China;University of Texas at San Antonio, San Antonio, TX;Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Venue:
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Year:
2010

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Abstract

This demonstration (AdVR: Ad Video to service Recommendation), attempts to build a semantic linking between ad video and relevant products or service by progressive search on E-commerce websites. We firstly extract representative images to summarize the video. Then we search visually similar product images by Spectral Hashing, rank the contextually textual information by tag aggregation, and refine the results by textual re-search. Finally, several products relevant to the ad will be recommended to users. Experiments on popular E-commerce websites demonstrate the attractiveness and effectiveness of our approach which semantically links video content with web services.