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H.264 is a computationally intensive video codec striving for achieving the best quality for the compressed video. The computational complexity poses as a challenge for power-constrained applications. We present a system level complexity reduction for H.264 video encoding by allocating resources based on computational complexity and quality trade-off. We develop a framework which allocates the computational...
H.264IMPEG-4 AVC allows multiple reference frames and multiple partition types to improve the coding performance at the expense of much higher computation complexity. This paper proposes a fast motion estimation (ME) algorithm to reduce search complexity for this demanding configuration. Our experimental results show that the partition type which gives the lowest matching cost for the reference frame...
This paper presents a novel method of reference frame compression for use in H.264/AVC video codecs. The method comprises a predictive pattern decision for encoding of original 2times2 pixel blocks, selective step quantization and fast reconstruction of embedded patterns during the decoding. The proposed approach has a number of advantages over existing methods, such as random access to compressed...
MPEG-4 uses a perspective model for global motion estimation. The region of support for global motion representation consists of the entire image frame. Estimating global motion parameters is very expensive computationally, since all the pixels in the frames are involved in the computation. Therefore, computationally efficient global motion estimation techniques are sought-after. It is shown that...
This paper presents different issues of the real-time compression algorithms without compromising the video quality in the distributed environment. The theme of this research is to manage the critical processing stages (speed, information lost, redundancy, distortion) having better encoded ratio, without the fluctuation of quantization scale by using IP configuration. In this paper, different techniques...
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