Ukhanova, Ann

Begrænsede ressourcer som hukommelse, energi, båndbredde og forsinkelse medfører begrænsninger for video-applikationer i mobile systemer. Standardmetoder til videokompression og transmission opfylder ikke altid systemkravene. I denne afhandling har vi vist, at det er muligt at modificere og optimere konventionelle algoritmer og dermed konvertere dem til lavkompleksitetsløsninger, der tilfredsstiller systemets begrænsninger.Vi har undersøgt tilgange med lav kompleksitet for videokompression uden bevægelsesestimation. Vi har foreslået skalerbare løsninger med lavthukommelsesforbrug baseret på billed-kodningsstandarder. Skalerbarhedsaspekter blev også undersøgt for distribueret videokodning. Vi har sammenlignet tidsmæssig skalerbarhed med distribueret og skalerbar videokodning og givet anbefalinger til valget af en af disse løsninger baseret på systemkravene. I en anden sammenligning betragtes energiforbrug for distribueret videokodning og H.264/AVC standard. Vi har også foreslået en skalerbar-til-tabsfri udvidelse af transformationsdomæne Wyner-Ziv codec, der tillader bitbesparelse i forhold til tabsfri kodning med standardalgoritmer. Skalerbarhedsaspekter blev også undersøgt med henblik på videokvalitet. Vi har foreslået en ny metrik for objektiv kvalitetsvurdering, der inkluderer frame rate.Da der er mange videotransmissionsapplikationer, har vi analyseret videokommunikationssystemer med fokus på et trade-off mellem energi og forvrængning. Vi har foreslået en strategi for rate-forvrængningkompleksitets optimering af en kommende videokompressionsstandard HEVC. Vi har præsenteret en ny metode, der gør det muligt at reducere energiforbruget på mobile enheder i 3G-net. Endelig har vi foreslået energibesparende metoder med lave forsinkelser til videotransmission via trådløse personlige netværk, herunder et 60GHz fiber-trådløst link.Constrained resources like memory, power, bandwidth and delay requirements in many mobile systems pose limitations for video applications. Standard approaches for video compression and transmission do not always satisfy system requirements. In this thesis we have shown that it is possible to modify and optimize conventional algorithms in order to convert them into low-complexity solutions and satisfy system constraints.We have studied low-complexity approaches for video compression without motion estimation. We have proposed scalable (progressive) solutions for video compression with low memory consumption based on image coding standards. Scalability aspects were studied for distributed video coding as well. We have compared temporal scalability for distributed and scalable video coding and provided recommendations for the choice of one of these solutions based on the system requirements. Another comparison regarded power consumption for distributed video coding and H.264/AVC standard. We also proposed a scalable-to-lossless extension of transform domain Wyner-Ziv codec that allows bit savings compared to lossless coding by standard algorithms. Scalability aspects were also studied in perspective of video quality. We proposed a new metric for objective quality assessment that considers frame rate. As many applications deal with wireless video transmission, we performed an analysis of compression and transmission systems with a focus on power-distortion trade-off. We proposed an approach for ratedistortion-complexity optimization of upcoming video compression standard HEVC. We also provided a new method allowing decrease of power consumption on mobile devices in 3G networks. Finally, we proposed low-delay and low-power approaches for video transmission over wireless personal area networks, including 60GHz fiber-wireless link

Online Research Database In Technology

Resource-Constrained Low-Complexity Video Coding for Wireless Transmission

http://orbit.dtu.dk/ws/files/52690584/PhD_thesis_Anna_Ukhanova_final_version_Feb_2012.pdf

Resource-Constrained Low-Complexity Video Coding for Wireless Transmission

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Online Research Database In Technology