Robust region-merging technique for video sequences: spatiotemporal segmentation

Riccardo Leonardi; Pier Angelo Migliorati; Giuseppe Tofanicchio

doi:10.1117/12.334633

28 December 1998 Robust region-merging technique for video sequences: spatiotemporal segmentation

Riccardo Leonardi, Pier Angelo Migliorati, Giuseppe Tofanicchio

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334633
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

The segmentation of video sequences into regions underlying a coherent motion is one of the most important processing in video analysis and coding. In this paper, we propose a reliability measure that indicates to what extent an affine motion model represents the motion of an image region. This reliability measure is then proposed as a criterion to coherently merge moving image regions in a Minimum Description Length (MDL) framework. To overcome the region-based motion estimation and segmentation chicken and egg problem, the motion field estimation and the segmentation task are treated separately. After a global motion compensation, a local motion field estimation is carried out starting from a translational motion model. Concurrently, a Markov Random Field model based algorithm provides for an initial static image partition. The motion estimation and segmentation problem is then formulated in the view of the MDL principle. A merging stage based on a directed weighted graph gives the final spatio-temporal segmentation. The simulation results show the effectiveness of the proposed algorithm.

Citation Download Citation

Riccardo Leonardi, Pier Angelo Migliorati, and Giuseppe Tofanicchio "Robust region-merging technique for video sequences: spatiotemporal segmentation", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334633

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KEYWORDS

Image segmentation

Motion estimation

Motion models

Motion measurement

Reliability

Affine motion model

Image processing algorithms and systems

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