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N. Doulamis, A. Doulamis, D. Kalogeras and S. Kollias
Low bit-rate coding of image sequences using adaptive regions of interest
IEEE Transactions on Circuits and Systems for Video Technology, vol. 8(8), pp. 928-934, December 1998.
ABSTRACT
An adaptive algorithm for extracting foreground objects from background in videophone or videoconference applications is presented. The algorithm uses a neural network architecture that classifies the video frames in regions of interest (ROI) and non-ROI areas, also being able to automatically adapt its performance to scene changes. The algorithm is incorporated in motion-compensated discrete cosine transform (MC-DCT)-based coding schemes, allocating more bits to ROI than to non-ROI areas. Simulation results are presented, using the Claire and Trevor sequences, which show reconstructed images of better quality, as well as signal-to-noise ratio improvements of about 1.4 dB, compared to those achieved by standard MC-DCT encoders
01 December , 1998
N. Doulamis, A. Doulamis, D. Kalogeras and S. Kollias, "Low bit-rate coding of image sequences using adaptive regions of interest", IEEE Transactions on Circuits and Systems for Video Technology, vol. 8(8), pp. 928-934, December 1998.
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