Automatic partitioning of full-motion video
Multimedia Systems
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Robust goal-mouth detection for virtual content insertion
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
The rise of intrusive online advertising and the response of user experience research at Yahoo!
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Convex Optimization
Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Real time advertisement insertion in baseball video based on advertisement effect
Proceedings of the 13th annual ACM international conference on Multimedia
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
The effects of online advertising
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Delivering online advertisements inside images
MM '08 Proceedings of the 16th ACM international conference on Multimedia
AdOn: an intelligent overlay video advertising system
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Multi-video synopsis for video representation
Signal Processing
Consumer video retargeting: context assisted spatial-temporal grid optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Linking video ads with product or service information by web search
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Naming faces in films using hypergraph matching
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Knowledge discovery over community-sharing media: from signal to intelligence
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
VideoSense: a contextual in-video advertising system
IEEE Transactions on Circuits and Systems for Video Technology
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
PageSense: style-wise web page advertising
Proceedings of the 19th international conference on World wide web
GameSense: game-like in-image advertising
Multimedia Tools and Applications
Virtual spotlighted advertising for tennis videos
Journal of Visual Communication and Image Representation
A programmable parallel accelerator for learning and classification
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Interactive service recommendation based on ad concept hierarchy
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Contextual Video Recommendation by Multimodal Relevance and User Feedback
ACM Transactions on Information Systems (TOIS)
Videoader: a video advertising system based on intelligent analysis of visual content
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification
ACM Transactions on Architecture and Code Optimization (TACO)
A semantic approach to recommending text advertisements for images
Proceedings of the sixth ACM conference on Recommender systems
Advertisement selection for online videos
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Exploiting content relevance and social relevance for personalized ad recommendation on internet TV
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Advertising object in web videos
Neurocomputing
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With Internet delivery of video content surging to an unprecedented level, online video advertising is becoming increasingly pervasive. In this paper, we present a novel advertising system for online video service called VideoSense, which automatically associates the most relevant video ads with online videos and seamlessly inserts the ads at the most appropriate positions within each individual video. Unlike most current video-oriented sites that only display a video ad at the beginning or the end of a video, VideoSense aims to embed more contextually relevant ads at less intrusive positions within the video stream. Given an online video, VideoSense is able to detect a set of candidate ad insertion points based on content discontinuity and attractiveness, select a list of relevant candidate ads ranked according to global textual relevance, and compute local visual-aural relevance between each pair of insertion points and ads. To support contextually relevant and less intrusive advertising, the ads are expected to be inserted at the positions with highest discontinuity and lowest attractiveness, while the overall global and local relevance is maximized. We formulate this task as a nonlinear 0-1 integer programming problem and embed these rules as constraints. The experiments have proved the effectiveness of VideoSense for online video advertising.