Phd thesis on video compression
Some fast and efficient foveated video compression schemes for H. The exponential phd thesis on video compression in networking technologies and widespread use of video content based multimedia information over internet for mass communication applications like social networking, e-commerce and education have promoted the development of video coding to a great extent.
Recently, foveated imaging based image phd thesis on video compression video compression schemes video in high demand, as they not only match with the perception of human visual system HVSbut phd thesis on video compression yield higher compression ratio.
The important phd thesis salient regions are phd thesis on video compression with higher visual quality while the non-salient regions are compressed with higher compression ratio. From amongst the foveated video compression developments during the source few years, it is observed that saliency detection based foveated schemes are the keen areas of intense research.
Keeping this in mind, we propose two multi-scale saliency detection schemes.
Fast and Efficient Foveated Video Compression Schemes for H.264/AVC Platform
It resembles the response of receptive field neurons of HVS. Video compression bottom-up spatio-temporal saliency map is obtained by linear weighted sum of spatial saliency map and temporal saliency map. Moreover, the 2D-discrete phd thesis click here 2D-DCT is widely used in various video coding standards for block based transformation of spatial data.
However, for directional featured blocks, 2D-DCT offers sub-optimal performance and may not able to efficiently represent video data with fewer coefficients that deteriorates compression ratio. Various directional transform schemes are proposed video compression literature for efficiently encoding such directional featured blocks.
We propose a directional transform scheme based on direction-adaptive fixed length compression cosine transform DAFL-DCT phd thesis on video compression thesis on video compression intra- and inter-frame to achieve phd thesis on video compression coding efficiency in case of directional featured blocks.
On the other hand, motion estimation ME exploits temporal correlation between video frames and yields significant improvement in compression ratio while sustaining high visual quality in video coding.
Block-matching motion estimation BMME is the most popular approach due to its simplicity and efficiency. Further, a single search pattern does not prove efficient phd thesis on video compression finding best phd thesis on video compression href="/how-to-do-an-assignment-of-contract-extension.html">how to do an assignment extension block for all motion types.
Phd thesis on video compression
In addition, it is observed that most of the BMME schemes are based on uni-modal error surface. Nevertheless, real-world video compression sequences may exhibit phd thesis phd thesis video compression large number of local minima available within a search window and thus possess multi-modal error surface MES.
Hence, the following two uni-modal error surface based and multi-modal error click based phd thesis on video compression estimation schemes are developed. Subsequently, various fast and efficient foveated video compression schemes are developed with combination of these schemes to improve the video coding performance further while maintaining high visual quality to salient regions.
Fast and Efficient Foveated Video Compression Schemes for H/AVC Platform - ethesis
All schemes are incorporated into the H. Various experiments have been carried out on H. Computing various benchmark metrics, the proposed schemes are compared with other existing competitive schemes in terms of rate-distortion curves, Bjontegaard metrics BD-PSNR, BD-SSIM phd thesis on video compression BD-bitrateencoding time, number of search points and subjective evaluation to derive an overall conclusion.
Abstract Some fast and efficient foveated video compression schemes for H.
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He completed successfully his Ph. Das received his B. He received his B.
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