We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...
The performance of shot detection methods in video sequences can be improved by the use of a threshold that adapts itself to the sequence statistics. In this paper we present some...
Yusseri Yusoff, William J. Christmas, Josef Kittle...
This paper introduces algorithms for determining the "relevance" of each frame (and objects within the frame) to the scenes present in a given video sequence. Specifical...
Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to be estima...
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kana...
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods tha...
This paper presents a technique to enable deformable objects to be matched throughout video sequences based on the information provided by multi-scale Gaussian derivative filter ba...
As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several pictures to create a panoramic mosaic having a larger...
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...