Level Lines Selection with Variational Models for Segmentation and Encoding
Journal of Mathematical Imaging and Vision
Spatio-temporal video object segmentation via scale-adaptive 3D structure tensor
EURASIP Journal on Applied Signal Processing
Ligne-claire video encoding for power constrained mobile environments
Proceedings of the 15th international conference on Multimedia
Hybrid layered video encoding and caching for resource constrained environments
Journal of Visual Communication and Image Representation
A New Object-Based Fractal Compression of Monocular and Stereo Video Sequences
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Total variation minimization and graph cuts for moving objects segmentation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Scalable object-based video retrieval in HD video databases
Image Communication
Hybrid layered video encoding for mobile internet-based computer vision and multimedia applications
Mobile Multimedia Processing
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This paper presents a generic video coding algorithm allowing the content-based manipulation of objects. This manipulation is possible thanks to the definition of a spatiotemporal segmentation of the sequences. The coding strategy relies on a joint optimization in the rate-distortion sense of the partition definition and of the coding techniques to be used within each region. This optimization creates the link between the analysis and synthesis parts of the coder. The analysis defines the time evolution of the partition, as well as the elimination or the appearance of regions that are homogeneous either spatially or in motion. The coding of the texture as well as of the partition relies on region-based motion compensation techniques. The algorithm offers a good compromise between the ability to track and manipulate objects and the coding efficiency