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End-to-end distortion estimation is critical to effective error-resilient video coding. The recursive optimal per-pixel estimate (ROPE) is a known approach to compute up to second moments of decoder-reconstructed pixels, and thereby optimally estimate the distortion. ROPE accurately accounts for encoding/decoding operations that are recursive in the pixel domain, and their interaction with packet...
AVS-Part 2 is a mainstream video coding standard with high compression efficiency similar to H.264/AVC. A technique named Second Order Prediction (SOP) has been presented based on H.264/AVC to decrease the signal correlation after motion-compensated prediction. To achieve better coding performance, this paper presents a method named Block-based Second Order Prediction (BSOP) to ameliorate SOP to adapt...
This paper presents an efficient forward inter prediction method for video coding, targeting at low delay applications. The method applies the idea of template matching averaging (TMA) to the conventional motion compensated prediction (MCP). TMA forms the final predictor of a target block by averaging multiple numbers of candidates. While one of the candidate is specified by a motion vector, the remaining...
We have large needs for estimating plays in sport videos. Plays in sports are described as the motions of players. This paper proposes the play retrieving method based on the motion compensation vector in MPEG sports videos. In MPEG videos, there are motion compensation vectors. Using the motion compensation vectors, we don't need to estimate the motion vectors between adjacent frames. This leads...
Temporal prediction in standard video coding is performed in the spatial domain, where each pixel is predicted from a motion-compensated reconstructed pixel in a prior frame. This paper is premised on the realization that such standard prediction treats each pixel independently and ignores underlying spatial correlations, while transform-domain prediction would eliminate much of the spatial correlation...
In this paper, we propose a low complex Scalable ACC-DCT based video compression approach which tends to hard exploit the pertinent temporal redundancy in the video frames to improve compression efficiency with less processing complexity. Generally, video signal has high temporal redundancies due to the high correlation between successive frames. Actually, this redundancy has not been exposed enough...
Template matching prediction (TMP), which estimates the motion for a target block by using its surrounding pixels, has been observed to perform efficiently in inter-frame coding. In this paper, we expose, from a more theoretical viewpoint, the factors that determine the prediction efficiency of TMP. It is shown that the motion estimate found by template matching tends to be the motion associated with...
We propose a new full reference video quality assessment algorithm (FR VQA) - the motion compensated structural similarity index (MC-SSIM). MC-SSIM evaluates spatial quality as well as quality along temporal trajectories. Its computationally simplicity makes it a prime choice for practical implementation. In this paper we describe the algorithm and evaluate its performance on a publicly available...
This paper addresses the problem of adapting overlapped block motion compensation (OBMC) windows for use with variable blocksize motion estimates. We tackle the problem by using a parametric window design, which expresses, based on a statistical motion model, the optimal weights as a function of the distances between the predicted pixel and its nearby block centers. The formula enables both prediction...
Man-made real-world environments are dominated by planar surfaces many of which constitute behavior-relevant entities. Thus, the ability to perceive planar surfaces is vital for any embodied system operating in such environments, be it human or robotic. In this paper, we present an architecture for detection and estimation of planar surfaces in the scene from calibrated stereo images. They are represented...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive segmentation algorithm for color video surveillance sequence in real time with non-stationary background; background is modeled using multiple correlation coefficient using pixel-level based approach. At runtime, segmentation is performed by checking...
Motion Compensated Frame Interpolation (MCFI) is a commonly used method to enhance the temporal resolution of video sequences. However, when scene change occurs, there is less temporal correlation between frames, so the interpolation technique can't work well. Moreover, this motion-based method always induces visual artifacts due to incorrect motion vectors. In this paper, firstly a scene change detection...
In this paper, we propose corrected artifact detection for motion compensated de-interlacing. De-interlacing techniques are adopted to convert interlaced video into progressive scanning format. Motion compensated de-interlacing algorithm provides the best performance if the estimated motion information is correct. However, it suffers from inaccurate motion estimation, and the weak error protection...
Based on a relatively simple motion assumption, the technique of motion-compensated prediction will result in large residue when dealing with video contents containing complex motions. To achieve higher coding efficiency, this paper presents a method named second order prediction (SOP) to exploit remaining signal correlation after motion-compensated prediction. Demonstration and analysis on the SOP...
In this paper, high performance and intelligent intrafield interpolation for motion compensated deinterlacing algorithms are proposed and modified. We present a correction to intelligent intra-field interpolation for motion compensated deinterlacing. The main intra-field interpolation algorithms that include cubic curve fitting interpolation, fuzzy edge interpolation and sub-sampled wide vector based...
The Discrete-Cosine-Transform (DCT) is the most widely used transform in image and video compression. Its use in image compression is often justified by the notion that it is the statistically optimal transform for first-order Markov signals, which have been used to model images. In standard video codecs, the motion-compensation residual (MC-residual) is also compressed with the DCT. The MC-residual...
In this paper, robust noise reduction method is proposed to stably reduce the noise by applying the adaptive temporal IIR filter using the hierarchical motion compensation. Motion vector of each pixel is obtained by hierarchical motion estimation which is reducing template block size from 8 times 8, to 4 times 4 and to 2 times 2. With obtained motion vector, filter weight is adjusted adaptively according...
The purpose of this contribution is to introduce a new method of signal prediction in video coding. Unlike most existent prediction methods that either use temporal or use spatial correlations to generate the prediction signal, the proposed method uses spatial and temporal correlations at the same time. The spatio-temporal prediction is obtained by first performing motion compensation for a macroblock,...
We propose a directional fuzzy filter to enhance the quality of compressed video sequences. A motion compensated spatio- temporal filter (MCSTF) is applied to intra-frame and inter-frame pixels to reduce both spatial and temporal artifacts. The MCSTF is adaptive to the pixel location, the intensity and position of surrounding pixels. To evaluate the flickering artifacts, a new metric is proposed to...
In this paper, we present a new motion-compensated interpolation method for frame rate up-conversion based on spatial and temporal correlation. First, the motion vectors (MVs) embedded in the bit-stream are examined and corrected by using the spatial correlation in the MV field. Second, motion trajectory based MV estimation for the block in the interpolated frame is used to gain the initial value...
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