In this paper, a novel reversible video watermarking scheme using motion estimation and prediction error expansion is presented, which can embed a large amount of secret data into videos with imperceptible modification. Different with other reversible watermarking schemes based on prediction error expansion, motion estimation is employed to explore the relationship of neighboring frames and wor...

The present paper extends a known e cient technique for rigid 3D motion estimation so as to make it applicable to motion estimation problems occuring in image sequence coding applications. The known technique estimates 3D motion using previously evaluated 3D correspondence. However, in image sequence coding applications 3D correspondence is unknown and only 2D motion vectors are usually initial...

Recently significant progress has been made in the field of person detection and tracking. However, crowded scenes remain particularly challenging and can deeply affect the results due to overlapping detections and dynamic occlusions. In this paper, we present a method to enhance human detection and tracking in crowded scenes. It is based on introducing additional information about crowds and i...

In this paper we focus on a novel issue in the field of video retrieval stemming from film analysis, namely the investigation of film montage patterns. For this purpose it is first necessary to reconstruct the original film sequences, i.e. the camera takes. For the decision whether or not two shots occurring anywhere in a film stem from the same take we use edge histograms and local feature tra...

This paper describes an application of camera motion estimation to index cricket games. The shots are labeled with the type of shot: glance left, glance right, left drive, right drive, left cut, right pull and straight drive. The method has the advantages that it is fast and avoids complex image segmentation. The classification of the cricket shots is done using incremental learning algorithm. ...

Object tracking is an important issue for research and application related to visual servoing and more generally for robot vision. In this paper, we address the problem of realizing visual servoing tasks on complex objects in real environments. We briefly present a set of tracking algorithms (2D features-based or motion-based tracking, 3D model-based tracking, . . . ) that have been used for te...

Accurate computation of image motion enables the enhancement of image sequences. Motion computation in scenes having multiple moving objects is performed together with object segmentation by using a unique temporal integration approach. Having accurate motion estimation for image regions, these regions can be enhanced by fusing all successive frames covering the same region. Enhancement include...

For the purpose of content based video process, this paper presents a novel video attention model. The impacts of the spatial position, the clearness, the appearance probability and motion vector on video attention regions are taken into account. Based on these extracted information, a novel model which can be employed to find video attention regions is finally constructed. Subsequently, after ...

In this paper, we present a technique for tracking video objects in a sequence. The proposed technique is based on a backward projection technique. Since classical backward technique can be disturbed by occlusions and potential errors in spatial segmentation or motion estimation, we propose an extension to the backward projection technique in order to cope with these problems. Results obtained ...

The Quadrant Based Method (QUADBAM) for Global Motion Estimation introduced here exploits local motion fields. QUADBAM produces similar results to other global motion estimation methods with a lower algorithmic complexity. Two applications of QUADBAM in the treatment of broadcast cricket highlights are presented. An automated highlight detector for broadcast cricket, based solely on QUADBAM gen...