Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2006 Papers
2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Advertising Insertion in Sports Webcasts
IEEE MultiMedia
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ViSA: virtual spotlighted advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Computer Vision and Image Understanding
A generic framework of user attention model and its application in video summarization
IEEE Transactions on Multimedia
Video Inpainting Under Constrained Camera Motion
IEEE Transactions on Image Processing
Video Adaptation for Small Display Based on Content Recomposition
IEEE Transactions on Circuits and Systems for Video Technology
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With the development of multimedia analysis, virtual content insertion has been widely used and studied for the video enrichment and advertising. However, how to less-intrusively insert a virtual content into general videos with an attractive representation is a significant and challenging problem in the field of virtual content insertion. In this paper, we present a novel virtual content insertion system which inserts virtual contents into videos with evolved animations according to predefined behaviors based on the concept of evolutionary biology. The videos are considered as not only carriers of message conveyed by the virtual content but also the environment in which the lifelike virtual contents live. Thus, the inserted virtual content interacts with video contents and triggers the artificial evolution. The evolution process is divided into distinct yet dependent phases, in which the virtual content evolves its appearances and behaviors with the incremental interactions. In this way, the proposed system constructs a visually relevant connection between the inserted virtual content and the source videos to reduce the intrusiveness and increase the acceptability and the attractiveness simultaneously. User studies show that the augmented videos produced by the proposed system improve the audience's viewing experience to the original video content and engage viewers with the entertaining storyline.