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Pre-processing and post-processing m...

Karunaratne, Passant Vatsalya.

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Pre-processing and post-processing methods for video compression.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pre-processing and post-processing methods for video compression./
作者:	Karunaratne, Passant Vatsalya.
面頁冊數:	168 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 1068.
Contained By:	Dissertation Abstracts International72-02B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3433588
ISBN:	9781124393599

Pre-processing and post-processing methods for video compression.
Karunaratne, Passant Vatsalya.

Pre-processing and post-processing methods for video compression. - 168 p.

Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 1068.

Thesis (Ph.D.)--Northwestern University, 2010.

The transmission channels of analog communications have become no longer necessary for video transmission, as digital video is progressively becoming the method of choice for distribution of visual information, offering greater flexibility in the storage of video data on media and the transmission of video over data networks. As technology strives towards efficient video communication with global reach, it is important to understand the significance of video compression, which offers an efficient method for the storage, transmission, and viewing of image sequences. Video compression algorithms lessen the bit-rate requirements for the transmission of video data, making an array of day-to-day functions is made possible by the resulting reduction in transmission costs. The foundation of most compression algorithms is shaped by the compression standards, most of which address a particular transmission system and viewing environment, and afford many benefits to manufacturers, consumers, and service providers through their incorporation into applications, such as reduced development costs and inter-operability between competing products. However, it is necessary to recognize the fact that video compression standards are not bit exact, and how the encoder generates the bit-stream, and what the decoder does with the decompressed data is not specified by the standard, leaving these decisions entirely under the control of the system designer. The processes of preprocessing, rate-control, and post-processing encapsulate the vital tasks involved in making these encoding and decoding decisions, characterizing both the quality and the resource efficiency of the overall video compression system.

ISBN: 9781124393599Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Pre-processing and post-processing methods for video compression.
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245 1 0 $a Pre-processing and post-processing methods for video compression.
300 $a 168 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 1068.
500 $a Adviser: Aggelos K. Katsaggelos.
502 $a Thesis (Ph.D.)--Northwestern University, 2010.
520 $a The transmission channels of analog communications have become no longer necessary for video transmission, as digital video is progressively becoming the method of choice for distribution of visual information, offering greater flexibility in the storage of video data on media and the transmission of video over data networks. As technology strives towards efficient video communication with global reach, it is important to understand the significance of video compression, which offers an efficient method for the storage, transmission, and viewing of image sequences. Video compression algorithms lessen the bit-rate requirements for the transmission of video data, making an array of day-to-day functions is made possible by the resulting reduction in transmission costs. The foundation of most compression algorithms is shaped by the compression standards, most of which address a particular transmission system and viewing environment, and afford many benefits to manufacturers, consumers, and service providers through their incorporation into applications, such as reduced development costs and inter-operability between competing products. However, it is necessary to recognize the fact that video compression standards are not bit exact, and how the encoder generates the bit-stream, and what the decoder does with the decompressed data is not specified by the standard, leaving these decisions entirely under the control of the system designer. The processes of preprocessing, rate-control, and post-processing encapsulate the vital tasks involved in making these encoding and decoding decisions, characterizing both the quality and the resource efficiency of the overall video compression system.
520 $a This dissertation proposes several frameworks and methods that focus on the areas of pre-processing and post-processing in the application of video compression, taking into account the fundamental mechanisms of rate-control. A pre-processing scheme in which the pre-filtering algorithms operate directly on the displaced frame difference (or motion-compensated error) is proposed as an effective technique for improving the coding efficiency of video compression and improving the visual quality of the resulting sequence, and further eliminating the need for re-estimation of motion vectors if implemented within an iterative pre-filtering approach. This scheme, in conjunction with an adaptive pre-filter, is shown to be capable of removing coding artifacts introduced by the video compression process, in addition to the removal of additive noise processes within compression in the presence of noise. An operational rate-distortion framework, which combines rate-control, via quantization, and pre-filtering of the displaced frame difference, is proposed as a means to achieve rate-distortion optimal pre-processing. A heuristic spatial distortion measure and a perceptual measure of visual quality are used within the rate-distortion framework, and the proposed compression scheme is simulated with high-resolution video sequences, up to CCIR-601 resolution formats. The proposed pre-processing algorithms are shown to improve the performance of the compression process by producing quantifiably higher quality compressed video frames, when compared to standard encoding at the same bit-rate, in terms of PSNR and perceptual signal-to-noise ratio.
520 $a An interpolative video compression scheme that geometrically partitions the frames within a group-of-pictures structure and selectively sub-samples the partitions or a combination thereof, during the encoding stage of the compression system, the resulting bitstream from which is appropriately post-processed using up-sampling and filtering, relying on the fundamentals of super-resolution techniques, is proposed. The overall performance of the proposed compression method is analyzed across high-definition video sequences with a varied range of content, and compared to the performance of the state-of-the-art H.264/AVC standard video codec. The results from these simulation, show that the proposed compression scheme surpasses the standard H.264 codec in performance, in terms of resulting video quality, especially at low bit-rates, concluding that the proposed interpolative video compression method is a viable scheme for the compression of high-resolution and high-definition video content for bit-rate limited networks and communication applications.
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650 4 $a Engineering, Computer. $3 1669061
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710 2 $a Northwestern University. $b Electrical and Computer Engineering. $3 1022291
773 0 $t Dissertation Abstracts International $g 72-02B.
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791 $a Ph.D.
792 $a 2010
793 $a English
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