Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields Abstract?Despite the recent progress in both pixel-domain and compressed-domain video object tracking, the need for a tracking framework with both reasonable accuracy and reasonable complexity still exists. This paper presents a method for tracking moving objects in H.264/AVC-compressed video sequences using a…
VideoPuzzle: Descriptive One-Shot Video Composition Abstract?A large amount of short, single-shot videos are created by personal camcorder every day, such as the small video clips in family albums, and thus a solution for presenting and managing these video clips is highly desired. From the perspective of professionalism and artistry, long-take/shot video, also termed one-shot…
Virtual machine power measuring technique with bounded error in cloud environments Abstract? Virtual machine power measuring technique with bounded error in cloud environments. Several fields of science have traditionally demanded large-scale workflow support, which requires thousands of CPU cores or more. In this paper, we investigate ways to support these scientific workflows in a…
Visual Object Tracking Based on Local Steering Kernels and Color Histograms Abstract? we propose a visual object tracking framework, which employs an appearance-based representation of the target object, based on local steering kernel descriptors and color histogram information. This framework takes as input the region of the target object in the previous video frame…