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Image adaptation, one of the essential problems in adaptive content delivery for universal access, has been actively explored for some time. Most existing approaches have focused on generic adaptation with a view to saving file size under constraints in client environment and have hardly paid attention to user perceptions of the adapted result. Meanwhile,(More)
This paper presents an automatic procedure for constructing a compact synthesized collage from a video sequence. The synthesized image called Video Collage, is a kind of static video summary – to select most representative images from video, to extract salient regions of interest (ROI) from these images and resize them according to their saliency, and to(More)
This paper presents a novel probabilistic approach to fusing multimodal metadata for event based home photo clustering. Photo events are characterized by the coherence of multimodality including time, content and camera settings. We incorporate these multimodal metadata into a unified probabilistic framework, in which event is taken as a latent semantic(More)
With the growing popularity of personal digital assistants and smart phones, people have become enthusiastic to watch videos through these mobile devices. However, a crucial challenge is to provide a better user experience for browsing videos on the limited and heterogeneous screen sizes. In this paper, we present a novel approach which allows users to(More)
Image adaptation, one of the essential problems in adaptive content delivery for universal access, has been actively explored for some time. Most existing approaches have focused on generic adaptation towards saving file size under constraints in client environment and hardly paid attention to user’s perception on the adapted result. Meanwhile, the major(More)
Compared with the video programs taken by professionals, home videos are always with low-quality content resulted from lack of professional capture skills. In this paper, we present a novel spatio-temporal quality assessment scheme in terms of low-level content features for home videos. In contrast to existing frame-level-based quality assessment(More)
In this work, we present Video Collage system, which automatically constructs a compact and visually appealing synthesized collage from a video sequence for efficient video browsing. Given a video, Video Collage is able to select the most representative images, extract salient regions of interest (ROI) from these images and resize ROI according to their(More)
With rapid adoption of consumer digital video recorders and increase of home video data, content analysis has become an interesting and key research issue to provide personalized experiences and services for both camcorder users and viewers. In this paper, we present a novel view to tackle this issue, which aims at modeling and mining of the capture(More)