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Typically the same transforms, such as the 2-D Discrete Cosine Transform (DCT), are used to compress both images in image compression and prediction residuals in video compression. However, these two signals have different spatial characteristics. In, we analyzed the difference between these two signals and proposed 1-D directional transforms for prediction residuals. In this paper, we provide further...
H.264/AVC uses motion compensated prediction with fractional-pixel precision to reduce temporal redundancy of the input video signal. It has been shown that the Adaptive Interpolation Filter (AIF) framework can significantly improve accuracy of the motion compensated prediction. In this paper, we present the Enhanced Adaptive Interpolation Filters (E-AIF) scheme, which enhances the AIF framework with...
The paper proposes a novel algorithm to enhance the quality of H.264/AVC compressed video sequences by using an in-loop spatio-temporal motion compensated filter (MCSTF). Extra information from surrounding coded frames are used together with the information of the current coded frame to reduce the coding artifacts. With the availability of the original frame, the MCSTF coefficients are optimized at...
We consider a video transmission system that supports digital pan/tilt/zoom by cropping the region-of-interest (RoI) chosen by the user and encoding it before transmission. With a static camera, the motion in the transmitted video results mostly from changing the RoI. We propose an efficient technique for cropping the RoI in a way that yields low-energy residual after motion compensation performed...
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