We propose VecLP, a novel Internet Video recommendation system working for Live TV Programs in this paper. Given little information on the live TV programs, our proposed VecLP system can effectively collect necessary information on both the programs and the subscribers as well as a large volume of related online videos, and then recommend the relevant Internet videos to the subscribers. For tha...

Hypervideo is a form of interactive video that allows users to follow links to other video. A simple form of hypervideo, called “detail-on-demand video,” provides at most one link from one segment of video to another, supporting a singlebutton interaction. Detail-on-demand video is well suited for interactive video summaries, because the user can request a more detailed summary while watching t...

We present a method for computing the 3D motion of articulated models from 2D correspondences. An iterative batch algorithm is proposed which estimates the maximum aposteriori trajectory based on the 2D measurements subject to a number of constraints. These include (i) kinematic constraints based on a 3D kinematic model, (ii) joint angle limits, (iii) dynamic smoothing and (iv) 3D key frames wh...

The first approach corresponds to methods heavily relied upon by the animator: rotoscopy, shape transformation, parametric keyframe animation (see Chapter 8). The second way guarantees a realistic motion by using kinematics and dynamics. The problem with this type of animation is controlling the motion produced. The third type of animation is called behavioral animation and takes into account t...

This paper presents an approach for human action recognition by finding the discriminative key frames from a video sequence and representing them with the distribution of local motion features and their spatiotemporal arrangements. In this approach, the key frames of the video sequence are selected by their discriminative power and represented by the local motion features detected in them and i...

In this paper we describe our experiments in the automatic search task of TRECVid 2007. For this we have implemented a new video search technique based on SIFT features and manual annotation. We submitted two runs, one solely based on the SIFT features with keyframe matching and the other based on adapted SIFT features for video retrieval in addition to manually annotated data.

This paper presents methods of generating compact pictorial sum-marizations of video. By calculating a measure of shot importance video can be summarized by de-emphasizing or discarding less important information, such as repeated or common scenes. In contrast to other approaches that present keyframes for each shot, this measure allows summarization by presenting only the most important shots....

We describe a technique for video summarization that uses motion descriptors computed in the compressed domain to speed up conventional color based video summarization technique. The basic hypothesis of the work is that the intensity of motion activity of a video segment is a direct indication of its “summarizability.” We present experimental verification of this hypothesis. We are thus able to...

Existing methods of morphing 3D meshes are often limited to cases in which 3D input meshes to be morphed are topologically equivalent. This paper presents a new method for morphing 3D meshes having different surface topological types. The most significant feature of the method is that it allows explicit control of topological transitions that occur during the morph. Transitions of topological t...

This paper describes the LIG participation to the MediaEval 2011 Affect Task on violent scenes’ detection in Hollywood movies. We submitted only the required run (shot classification run) with a minimal system using only the visual information. Color, texture and SIFT descriptors were extracted from key frames. The performance of our system was below the performance of the systems using both au...