Power efficient H.264 video decoding in embedded multiprocessor

Permanent citation URL: http://hdl.handle.net/1957/8932
Title:Power efficient H.264 video decoding in embedded multiprocessor
Authors:Kim, Jihong
Advisors:Lee, Ben
Committee Members:Lucchese, Luca
Nguyen, Thinh
Keywords:H.264 decoding
Low power
Parallel processing
Dynamic voltage frequency scaling
LCSH Keywords:Multiprocessors -- Energy consumption
Systems on a chip -- Energy consumption
Decoders (Electronics) -- Energy consumption
Video compression -- Energy consumption
Issue Date:10-Jul-2008
Abstract:This thesis presents a novel methodology that enables power efficient video decoding in an embedded system based on MPSoC (Multiprocessor System on Chip). This methodology is a physical combination of parallel processing which reduces power consumption of processors by exploiting thread-level parallelism and Dynamic Voltage Frequency Scaling (DVFS) that allows a processor to dynamically change its speed and voltage at run time. The video decoding process must be well optimized to improve performance continuously due to the many complex computation units. Since these intense computation functions have their own specific patterns, they were mainly performed by specialized hardware device. This kind of device, one that combines a main processor and an Intellectual Property (IP), still dominates the multimedia market place because of its adjustable performance, power, and convenience of manufacturing, even though the powerful multi-core embedded processor was released the market a few years ago. Approach of this thesis exploits inherent advantages of the multiprocessor without additional hardware implementation, and presents a thorough analysis of video decoding process in an embedded system. A target application is H.264/AVC, a well-adapted video coding standard for current multimedia environments which is used for many portable devices.
Description:Graduation date: 2009
URI:http://hdl.handle.net/1957/8932
Appears in Collections:Theses, Dissertations, and Student Research Papers (EECS)
Electronic Theses and Dissertations

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