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In this paper, we propose a novel algorithm, named as Spatially Varying Transform (SVT). The basic idea of SVT is that we do not restrict the transform coding inside normal block boundary but adjust it to the characteristics of the prediction error. With this flexibility, we are able to achieve coding efficiency improvement by selecting and coding the best(More)
Integer cosine transform (ICT) is adopted by H.264/AVC for its bit-exact implementation and significant complexity reduction compared to the discrete cosine transform (DCT) with an impact in peak sigal-to-noise ratio (PSNR) of less than 0.02 dB. In this paper, a new technique, named prescaled integer transform (PIT), is proposed. With PIT, while all the(More)
Integer Cosine Transform (ICT) is adopted by H.264/AVC for its bit-exact implementation and significant complexity reduction compared to Discrete Cosine Transform (DCT) with an impact in peak signal-to-noise ratio (PSNR) of less than 0.02dB. In this paper, a new technique, named PreScaled Integer Transform (PIT), is proposed. With PIT, the implementation(More)
In our previous work, we introduced Spatially Varying Transforms (SVT) for video coding, where the location of the transform block within the macroblock is not fixed but varying. In this paper, we extend this concept and present a novel method, called Variable Block-size Spatially Varying Transforms (VBSVT). VBSVT utilizes Variable Block-size Transforms(More)
This paper describes fixed-point design methodologies and several resulting implementations of the Inverse Discrete Cosine Transform (IDCT) contributed by the authors to MPEG’s work on defining the new 8x8 fixed point IDCT standard – ISO/IEC 23002-2. The algorithm currently specified in the Final Committee Draft (FCD) of this standard is also described(More)
In our previous work, we introduced Spatially Varying Transforms (SVT) for video coding, where the location of the transform block within the macroblock is not fixed but varying. SVT has lower decoding complexity compared to standard methods as only a portion of the prediction error needs to be decoded. However, the encoding complexity of SVT can be(More)