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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Adaptive techniques for scalable video compression /

Mehrseresht, Nagita. January 2005 (has links)
Thesis (Ph. D.)--University of New South Wales, 2005. / Also available online.

Motion-adaptive transforms for highly scalable video compression

Secker, Andrew J, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW January 2004 (has links)
This thesis investigates motion-adaptive temporal transformations and motion parameter coding schemes, for highly scalable video compression. The first aspect of this work proposes a new framework for constructing temporal discrete wavelet transforms, based on motion-compensated lifting steps. The use of lifting preserves invertibility regardless of the selected motion model. By contrast, the invertibility requirement has restricted previous approaches to either block-based or global motion compensation. We show that the proposed framework effectively applies the temporal wavelet transform along the motion trajectories. Video sequences reconstructed at reduced frame-rates, from subsets of the compressed bitstream, demonstrate the visually pleasing properties expected from lowpass filtering along the motion trajectories. Experimental results demonstrate the effectiveness of temporal wavelet kernels other than the simple Haar. We also demonstrate the benefits of complex motion modelling, by using a deformable triangular mesh. These advances are either incompatible or diffcult to achieve with previously proposed strategies for scalable video compression. A second aspect of this work involves new methods for the representation, compression and rate allocation of the motion information. We first describe a compact representation for the various motion mappings associated with the proposed lifting transform. This representation significantly reduces the number of distinct motion fields that must be transmitted to the decoder. We also incorporate a rate scalable scheme for coding the motion parameters. This is achieved by constructing a set of quality layers for the motion information, in a manner similar to that used to construct the scalable sample representation. When the motion layers are truncated, the decoder receives a quantized version of the motion parameters used to code the sample data. A linear model is employed to quantify the effects of motion parameter quantization on the reconstructed video distortion. This allows the optimal trade-off between motion and subband sample bit-rates to be determined after the motion and sample data has been compressed. Two schemes are proposed to determine the optimal trade-off between motion and sample bit-rates. The first scheme employs a simple but effective brute force search approach. A second scheme explicitly utilizes the linear model, and yields comparable performance to the brute force scheme, with significantly less computational cost. The high performance of the second scheme also serves to reinforce the validity of the linear model itself. In comparison to existing scalable coding schemes, the proposed video coder achieves significantly higher compression performance, and motion scalability facilitates effcient compression even at low bit-rates. Experimental results show that the proposed scheme is also competitive with state-of-the-art non-scalable video coders.

Vector subband video coding /

Wus, John Peter, January 1997 (has links)
Thesis (Ph. D.)--Lehigh University, 1997. / Includes vita. Includes bibliographical references (leaves 183-191).

Real time video compression using DVQ and suffix trees

Vedantam, Pavan Kumar. January 2004 (has links)
Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains vii, 57 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 55-57).

A novel bit allocation buffer control algorithm for low bit-rate video compression /

Ng, King-to. January 1998 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1999. / Includes bibliographical references (leaves 133-136).

Focal plane video compression

León-Salas, Walter D. January 1900 (has links)
Thesis (Ph.D.)--University of Nebraska-Lincoln, 2006. / Title from title screen (site viewed May 22, 2007). PDF text: ix, 175 p. : ill. (some col.) ; 1.39Mb. UMI publication number: AAT 3237056. Includes bibliographical references. Also available in microfilm and microfiche formats.

Maximum frame rate video acquisition using adaptive compressed sensing

Liu, Zhaorui Unknown Date
No description available.

DCT domain video foveation and transcoding for heterogeneous video communication

Liu, Shizhong 06 May 2011 (has links)
Not available / text

Video object coding and relighting for image base representation

Chan, Kin-lok, 陳健樂 January 2004 (has links)
published_or_final_version / abstract / toc / Electrical and Electronic Engineering / Master / Master of Philosophy

A novel bit allocation buffer control algorithm for low bit-rate videocompression

吳景濤, Ng, King-to. January 1998 (has links)
published_or_final_version / Electrical Engineering / Master / Master of Philosophy

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