Iterative backward segmentation for hierarchical wavelet image coding

Amonou, Isabelle; Duhamel, Pierre

doi:10.1109/icip.2000.901040

Cited by 3 publications

(1 citation statement)

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“…For a given compression ratio, the face can be transmitted with a higher rate to the detriment of the background. This interesting property is valuable for videoconferences, where the most important and most variable information is located on the face, see for example Amonou and Duhamel (2000) and Salembier (1994). Face segmentation may also be used for high level applications as face and person recognition, biometry, indexing and retrieval (MPEG-7, 1998;MPEG-7, 2000).…”

Section: Application To Face Segmentation In Video Sequencesmentioning

confidence: 99%

DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation

Jehan‐Besson

Barlaud

Aubert

2002

Computer Vision — ECCV 2002

173

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Abstract. This paper deals with image and video segmentation using active contours. We propose a general form for the energy functional related to region-based active contours. We compute the associated evolution equation using shape derivation tools and accounting for the evolving region-based terms. Then we apply this general framework to compute the evolution equation from functionals that include various statistical measures of homogeneity for the region to be segmented. Experimental results show that the determinant of the covariance matrix appears to be a very relevant tool for segmentation of homogeneous color regions. As an example, it has been successfully applied to face segmentation in real video sequences.

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Section: Application To Face Segmentation In Video Sequencesmentioning

confidence: 99%