The paper describes a method for generating a generic deformable model from a training set of shapes depicted in a corpus of image sequences. Individual shapes in the training set are extracted automatically from the image sequences and represented by the control points of a B-spline surface. The generic model is derived by principal component analysis on the aligned training shapes. Using the ...

We propose a robust scene recognition framework using scene context information for multimedia contents. In multimedia contents, some scene sequences are more likely to happen compared with other scene sequences. We employ a statistical approach to deal with this scene context information. We employ a hidden Markov model (HMM) to model each scene and an n-gram language model to represent the sc...

In this paper we address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important and reusable information that can be used for other news programs. In a previous paper, we presented a technique based on a priori knowledge of the editing techniques used in news sequences which allowed a fast search of...

The textual description of video sequences exploits conceptual knowledge about the behavior of depicted agents. An explicit representation of such behavioral knowledge facilitates not only the textual description of video evaluation results, but can also be used for the inverse task of generating synthetic image sequences from textual descriptions of dynamic scenes. Moreover, it is shown here t...

Crowd behavior analysis is an interdisciplinary topic. Understanding the collective crowd behaviors is one of the fundamental problems both in social science and natural science. Research of crowd behavior analysis can lead to a lot of critical applications, such as intelligent video surveillance, crowd abnormal detection, and public facility optimization. In this thesis, we study the crowd beh...

We present an automatic tool for compact representation and cross-referencing of long video sequences, which is based on a novel visual abstraction of semantic content. Our highly compact hierarchical representation results from the non-temporal clustering of scene segments into a new conceptual form grounded in the recognition of real-world backgrounds. We represent shots and scenes using mosa...

virtual reality, developing techniques for synthesizing arbitrary views has become an important technical issue. Given an object’s structural model (such as a polygon or volume model), it’s relatively easy to synthesize arbitrary views. Generating a structural model of an object, however, isn’t necessarily easy. For this reason, research has been progressing on a technique called image-based mo...