Segmentation and content-based watermarking for color image and image region indexing and retrieval
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Segmentation and content-based watermarking for color image and image region indexing and retrieval
EURASIP Journal on Applied Signal Processing
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A procedure is described for the spatiotemporal segmentation and tracking of objects in colour image sequences. For this purpose, we propose the novel procedure of the k-means with a connectivity constraint algorithm as a general segmentation algorithm combining several types of information including colour, motion and compactness. A new colour distance is also defined for this algorithm. The regularisation parameters are evaluated automatically using the min-max criterion. In this algorithm, the use of spatiotemporal regions is introduced since a number of frames is analyzed simultaneously and as a result the same region is present in consequent frames. Experimental results on real and synthetic colour data demonstrate the performance of the data.