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 saliencies, and seamlessly arrange them on a given canvas while preserving the temporal structure of video content. Furthermore, Video Collage provides a novel user interface that enables users to browse video content in a variety of more efficient ways in contrast to many existing approaches to video browsing.
['Xueliang Liu', 'Tao Mei', 'Xian-Sheng Hua', 'Bo Yang', 'He-Qin Zhou']
Video collage