Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
vADeo: video advertising system
Proceedings of the 15th international conference on Multimedia
AdImage: video advertising by image matching and ad scheduling optimization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
VideoSense: a contextual in-video advertising system
IEEE Transactions on Circuits and Systems for Video Technology
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
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In this work, we present a visual-based contextual advertising system, AdVisual. It is designed for content service providers to effectively select relevant ads for online videos. First, it will analyze each video and extract high level semantic visual information including specific objects, people, and significant scenes. Then ads highly related to the visual concepts are associated with the corresponding shots. As AdVisual is a user interaction system, it allows users to select favorite ads relevant to the video. By saliency detection, selected ads will be displayed as an overlay window embedded at the non-intrusive part of the shot.