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
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Text Area Detection from Video Frames
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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
The effects of online advertising
Communications of the ACM - Emergency response information systems: emerging trends and technologies
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Online video recommendation based on multimodal fusion and relevance feedback
Proceedings of the 6th ACM international conference on Image and video retrieval
AdWords and generalized online matching
Journal of the ACM (JACM)
vADeo: video advertising system
Proceedings of the 15th international conference on Multimedia
VideoSense: towards effective online video advertising
Proceedings of the 15th international conference on Multimedia
From TV to online advertising: recent experience from the Spanish media
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
Modeling and Mining of Users' Capture Intention for Home Videos
IEEE Transactions on Multimedia
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
Home Video Visual Quality Assessment With Spatiotemporal Factors
IEEE Transactions on Circuits and Systems for Video Technology
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Linking visual concept detection with viewer demographics
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Near-lossless semantic video summarization and its applications to video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
AdVisual: a visual-based advertising system
Proceedings of the 21st ACM international conference on Multimedia
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With Internet delivery of video content surging to an unprecedented level, video has become one of the primary sources for online advertising. In this paper, we present VideoSense as a novel contextual in-video advertising system, which automatically associates the relevant video ads and seamlessly inserts the ads at the appropriate positions within each individual video. Unlike most video sites which treat video advertising as general text advertising by displaying video ads at the beginning or the end of a video or around a video, VideoSense aims to embed more contextually relevant ads at less intrusive positions within the video stream. Specifically, given a Web page containing an online video, VideoSense is able to extract the surrounding text related to this video, detect a set of candidate ad insertion positions based on video content discontinuity and attractiveness, select a list of relevant candidate ads according to multimodal relevance. To support contextual advertising, we formulate this task as a nonlinear 0-1 integer programming problem by maximizing contextual relevance while minimizing content intrusiveness at the same time. The experiments proved the effectiveness of VideoSense for online video service.