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—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 Pre-Scaled Integer Transform (PIT), is proposed. With PIT, the implementation(More)
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)
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)
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)
In [1], Adaptive Prediction Error Coding (APEC) in spatial and frequency domain is proposed and significantly improves the coding efficiency of video coders. However, this approach comes with the expense of increased encoding complexity because of the need to perform Rate Distortion Optimization (RDO) for each block, to decide whether the block is coded in(More)
Technologies used in today's video coding standards have been designed and optimized mainly for Standard Definition (SD) resolutions and below. When moving to higher resolutions, data in video frames tend to become more correlated spatially. In this paper, we study how to take advantage of this phenomenon to lower computational requirements for High(More)
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