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Image Vector Quantization (VQ) has many current applications, like speech and image compression, and envisioned applications, such as digital watermarking, data hiding and speaker identification. Given an image, VQ produce an index map by quantizing the image block by block. Recently, a loss less VQ index compression scheme, called Index Searching Algorithm with index Associated List (ISAIAL), was...
Different content characteristics and bit rates affecting the perceived quality of video has been verified in this study. We select 93 video sequences encoded/decoded by the Microsoft MPEG-4 software and make use of the principal component analysis (PCA) method to find the principal component for all sequences by motion and texture characteristics. All the sequences are classified into seven groups...
Most algorithms of smoothing schedule compute the required bit rate of the video transmission to satisfy all the transmitted data. MPEG-4 with fine grained scalability supports partial data dropping to adapt to available bandwidth network. In this paper, our proposed dropping algorithm can adjust the transmitting data to fit the available bit rate. Our algorithm is based on the minimum variance bandwidth...
Image vector quantization (VQ) has many current applications, like speech and image compression, and envisioned applications, such as digital watermarking, data hiding and speaker identification. In this paper, we propose a novel lossless compression algorithm, called ISAIAL, to improve the coding efficiency of image VQ. Given an image, VQ produce an index map by quantizing the image block by block,...
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