Chau-Wai Wong

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—In this paper, we propose a new discrete cosine transform (DCT)-like kernel IK(5, 7, 3) and revitalize another DCT-like kernel IK(13, 17, 7) for the transform coding process of hybrid video coding. Making use one of these kernels together with the H.264/AVC kernel IK(1, 2, 1), we are able to design new multiple-kernel schemes which give better coding(More)
purposes must be obtained from the IEEE by sending an email to pubs-permissions@ieee.org. Abstract—In a recent paper, Dong et al. proposed a set of order-16 Nonorthogonal Integer Cosine Transforms (NICT's). They proved that the reconstruction error caused by the nonorthogonality is negligible as compared to the error caused by the quantization. However, we(More)
Multiple videos capturing the same scene from possibly different viewing angles may be synthesized for novel immersive experience. Synchronization is an important task for such applications involving multiple pieces of audio-visual data. In this work, we exploit the electric network frequency (ENF) signal inherently embedded in the soundtrack and/or image(More)
—Digitally acquired high dynamic range (HDR) video baseband signal can take 10 to 12 bits per color channel. It is of economical importance to be able to reuse the legacy 8 or 10-bit video codecs to efficiently compress the HDR video. Linear or nonlinear mapping on the intensity can be applied to the baseband signal to reduce the dynamic range before the(More)
—Digitally acquired high dynamic range (HDR) video baseband signal can take 10 to 12 bits per color channel. It is economically important to be able to reuse the legacy 8 or 10-bit video codecs to efficiently compress the HDR video. Linear or nonlinear mapping on the intensity can be applied to the baseband signal to reduce the dynamic range before the(More)
In this paper, we present an analysis of the dyadic approximation error introduced by the integerization of transform coding in H.264/AVC-like codecs. We derive the analytical formulations for dyadic approximation error and nonorthogonality error. We further classify the dyadic approximation error into a "system error" and a "nonflat error," and proposed(More)
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