Fabrice Moscheni

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—This paper proposes a technique for spatiotemporal segmentation to identify the objects present in the scene represented in a video sequence. This technique processes two consecutive frames at a time. A region-merging approach is used to identify the objects in the scene. Starting from an oversegmentation of the current frame, the objects are formed by(More)
This chapter addresses the development of a new approach to motion estimation which rely on a semantic representation of the scene in terms of objects. More speciically, motion models, segmentation-based motion estimation, spatio-temporal segmentation and tracking are more thoroughly discussed. Simulation results are presented to show the eeciency of the(More)
The problem to segment an image sequence in terms of regions characterized by a coherent motion is among the most challenging in image sequence analysis. This paper proposes a new technique which sequentially re-nes the segmentation and the motion estimation by combining static segmentation and motion information. Simulation results show the eeciency of the(More)
In the framework of sequence coding, motion estimation and compensation has been shown to be very ef-cient at removing temporal redundancy. The motion existing in a scene can be mainly seen as arising from local motions superimposed to the camera motion. In this paper, a new two stage global/local motion estimation approach is presented. The global motion(More)
Motion estimation and compensation techniques are widely used in video coding. This paper addresses the problem of the trade-oo between the motion and the prediction error information. Under some realistic hypotheses, the transmission cost of these two components can be estimated. Therefore, we obtain a criterion which controls the motion estimation process(More)
This paper addresses the problem of nding moving objects present in an image sequence. More speciically, a method is proposed to merge regions based on a coherent motion criterion. A Modiied Kolmogorov-Smirnov test is proposed which exploits both the motion information present in the residual distribution and the motion information of the motion parameter(More)