File Download
Supplementary

postgraduate thesis: An efficient multiview video coding system with application in AVS

TitleAn efficient multiview video coding system with application in AVS
Authors
Issue Date2015
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102
AbstractMultiview video coding (MVC) systems have attracted much attention because of their applications in free view point television (FTV), three-dimensional television (3DTV), surveillance systems, etc. Compared with the traditional 2D media, multiview videos usually involve large data size. It is essential to develop high performance MVC systems with low computational complexity. This thesis aims to develop an efficient multiview video codec based on the Audio Video Coding Standard of China (AVS) and investigate its application to image-based rendering (IBR). Firstly, a new fast motion estimation (ME) algorithm based on the simplified unsymmetrical hexagonal method (UMHexagonS) used in the AVS standard is developed. Different from the conventional method, the proposed approach uses an extended searching area and a square-based search to reduce computation complexity considerably. To obtain real-time implementation, we proposed a macroblock-based parallel structure which utilizes multi-core processing. Such approach can improve the encoding frame rate by approximately 4 times compared to traditional implementations. The proposed method has been tested on an Intel Core i7 3960x six cores 3.3GHz CPU. The real-time encoding speed reaches 25 frames per second (fps) for a 1280×720 high-definition video. Secondly, a multiview video coding algorithm based on AVS which encode three views as a group is developed. By taking advantages of the reduced inter-view dependency among adjacent views, the proposed algorithm can simplify the selective transmission and the decoding of multiview videos. Moreover, a new disparity estimation (DE) algorithm based on an unsymmetrical search window is proposed to further reduce the computational complexity. The developed encoder can achieve real-time encoding for 640×480 3-view videos at more than 26fps on a computer equipped with an Intel Core i7 3960x six cores 3.3GHz CPU. Finally, an image-based rendering and object-based compression system based on the Kinect depth camera and algorithm are developed for indoor applications. The proposed system uses the depth information obtained by the Kinect depth camera together with the texture information to perform IBR. Experimental results illustrate that good performance and usefulness can be achieved by the proposed approach.
DegreeMaster of Philosophy
SubjectVideo compression - Standards
Image processing - Digital techniques
Dept/ProgramElectrical and Electronic Engineering
Persistent Identifierhttp://hdl.handle.net/10722/224653

 

DC FieldValueLanguage
dc.contributor.authorLiu, An-ling-
dc.contributor.author廖晏羚-
dc.date.accessioned2016-04-11T23:15:19Z-
dc.date.available2016-04-11T23:15:19Z-
dc.date.issued2015-
dc.identifier.citationLiu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102-
dc.identifier.urihttp://hdl.handle.net/10722/224653-
dc.description.abstractMultiview video coding (MVC) systems have attracted much attention because of their applications in free view point television (FTV), three-dimensional television (3DTV), surveillance systems, etc. Compared with the traditional 2D media, multiview videos usually involve large data size. It is essential to develop high performance MVC systems with low computational complexity. This thesis aims to develop an efficient multiview video codec based on the Audio Video Coding Standard of China (AVS) and investigate its application to image-based rendering (IBR). Firstly, a new fast motion estimation (ME) algorithm based on the simplified unsymmetrical hexagonal method (UMHexagonS) used in the AVS standard is developed. Different from the conventional method, the proposed approach uses an extended searching area and a square-based search to reduce computation complexity considerably. To obtain real-time implementation, we proposed a macroblock-based parallel structure which utilizes multi-core processing. Such approach can improve the encoding frame rate by approximately 4 times compared to traditional implementations. The proposed method has been tested on an Intel Core i7 3960x six cores 3.3GHz CPU. The real-time encoding speed reaches 25 frames per second (fps) for a 1280×720 high-definition video. Secondly, a multiview video coding algorithm based on AVS which encode three views as a group is developed. By taking advantages of the reduced inter-view dependency among adjacent views, the proposed algorithm can simplify the selective transmission and the decoding of multiview videos. Moreover, a new disparity estimation (DE) algorithm based on an unsymmetrical search window is proposed to further reduce the computational complexity. The developed encoder can achieve real-time encoding for 640×480 3-view videos at more than 26fps on a computer equipped with an Intel Core i7 3960x six cores 3.3GHz CPU. Finally, an image-based rendering and object-based compression system based on the Kinect depth camera and algorithm are developed for indoor applications. The proposed system uses the depth information obtained by the Kinect depth camera together with the texture information to perform IBR. Experimental results illustrate that good performance and usefulness can be achieved by the proposed approach.-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.subject.lcshVideo compression - Standards-
dc.subject.lcshImage processing - Digital techniques-
dc.titleAn efficient multiview video coding system with application in AVS-
dc.typePG_Thesis-
dc.identifier.hkulb5731102-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineElectrical and Electronic Engineering-
dc.description.naturepublished_or_final_version-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats