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In recent years, rate control plays an increasing important role in real-time video communication applications using MPEG-4 AVC/H.264. An important step in many existing rate control algorithms, which employs the quadratic rate-distortion (R-D) model, is to determine the target bits for each P frame. This paper aims in improving video distortion, due to(More)
This paper proposes a new simple and efficient method to detect abrupt scene change based on only pixel values. Conventional pixel-based techniques can produce a significant number of false detections and missed detections when high motion and brightness variations are present in the video. To increase scene change detection accuracy yet maintaining a low(More)
This paper presents a revised rate control scheme based on an improved frame complexity measure. Rate control adopted by both MPEG-4 VM18 and H.264/AVC use a quadratic rate-distortion (R-D) model that determines quantization parameters (QPs). Classical quadratic R-D model is suitable for MPEG-4 but it performs poorly for H.264/AVC because one of the(More)
Bit rate control is an important issue for wireless and Internet video streaming. The paper presents a revised rate control scheme based on an improved frame complexity measure. Rate control adopted by both MPEG-4 VM18 and H.264/AVC uses a quadratic rate-distortion (R-D) model that determines quantization parameters (QPs). The classical quadratic R-D model(More)
In order to achieve constant quality across the whole video sequence under the channel bandwidth and buffer constraints, it is necessary to allocate more bits to frames with scene changes or high complexity and fewer bits to low complexity frames. In this work, we propose a new frame layer bit allocation scheme for H.264 video coding using mean absolute(More)
— This paper propose a new block matching algorithm for motion estimation. Four different block matching algorithms using for motion estimation are evaluated where no of computation to find out best match and peak signal to noise ratio (PSNR) are used to find out most optimal algorithm. Four different block matching algorithm are implemented in MATLAB. Each(More)