The Experts below are selected from a list of 122838 Experts worldwide ranked by ideXlab platform
Eun-soo Kim - One of the best experts on this subject based on the ideXlab platform.
-
Four-view stereoscopic imaging and display system for web-based 3D Image Communication
Novel Optical Systems Design and Optimization VII, 2004Co-Authors: Seung-cheol Kim, Young-gyoo Park, Eun-soo KimAbstract:In this paper, a new software-oriented autostereoscopic 4-view imaging & display system for web-based 3D Image Communication is implemented by using 4 digital cameras, Intel Xeon server computer system, graphic card having four outputs, projection-type 4-view 3D display system and Microsoft' DirectShow programming library. And its performance is also analyzed in terms of Image-grabbing frame rates, displayed Image resolution, possible color depth and number of views. From some experimental results, it is found that the proposed system can display 4-view VGA Images with a full color of 16bits and a frame rate of 15fps in real-time. But the Image resolution, color depth, frame rate and number of views are mutually interrelated and can be easily controlled in the proposed system by using the developed software program so that, a lot of flexibility in design and implementation of the proposed multiview 3D imaging and display system are expected in the practical application of web-based 3D Image Communication.
-
Server and client simulator for web‐based 3d Image Communication
Journal of Information Display, 2004Co-Authors: Sang-tae Lee, Eun-soo KimAbstract:Abstract In this paper, a server and client simulator for the web‐based multi‐view 3D Image Communication system is implemented by using the IEEE 1394 digital cameras, Intel Xeon server computer and Microsoft's DirectShow programming library. In the proposed system, two‐view Image is initially captured by using the IEEE 1394 stereo camera and then, this data is compressed through extraction of its disparity information in the Intel Xeon server computer and transmitted to the client system, in which multi‐view Images are generated through the intermediate views reconstruction method and finally display on the 3D display monitor. Through some experiments it is found that the proposed system can display 8‐view Image having a grey level of 8 bits with a frame rate of 15 fps.
Sujit Dey - One of the best experts on this subject based on the ideXlab platform.
-
Embedded Processor Design Challenges - Design of an adaptive architecture for energy efficient wireless Image Communication
Embedded Processor Design Challenges, 2002Co-Authors: Clark N. Taylor, Debashis Panigrahi, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation wireless appliances capable of Image Communication. However, wireless Image Communication faces significant bottlenecks including high energy and bandwidth consumption. Past studies have shown that the bottlenecks to wireless Image Communication can be overcome by developing adaptive Image compression algorithms and dynamically adapting them to current channel conditions and service requirements [1,2].In this paper, we present the design of an adaptive hardware/software architecture that enables adaptive wireless Image Communication. Through intelligent co-design of the proposed architecture and algorithms, we achieve an architecture which enables not only power and performance efficient implementation, but also fast and efficient run-time adaptation of Image compression parameters. To achieve efficient Image compression and run-time adaptation, we characterized the adaptation needs of an adaptive Image compression algorithm in terms of parameters, and implemented an adaptive hardware/software architecture capable of executing JPEC Image compression with different parameters. We present experimental results demonstrating that the proposed architecture enables low overhead adaptation to current wireless conditions and requirements while implementing a low cost (energy and performance) implementation of adaptive Image compression algorithms.
-
a hardware software reconfigurable architecture for adaptive wireless Image Communication
Asia and South Pacific Design Automation Conference, 2002Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
-
VLSI Design - A Hardware/Software Reconfigurable Architecture for Adaptive Wireless Image Communication
Proceedings of ASP-DAC VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design, 1Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
Debashis Panigrahi - One of the best experts on this subject based on the ideXlab platform.
-
Embedded Processor Design Challenges - Design of an adaptive architecture for energy efficient wireless Image Communication
Embedded Processor Design Challenges, 2002Co-Authors: Clark N. Taylor, Debashis Panigrahi, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation wireless appliances capable of Image Communication. However, wireless Image Communication faces significant bottlenecks including high energy and bandwidth consumption. Past studies have shown that the bottlenecks to wireless Image Communication can be overcome by developing adaptive Image compression algorithms and dynamically adapting them to current channel conditions and service requirements [1,2].In this paper, we present the design of an adaptive hardware/software architecture that enables adaptive wireless Image Communication. Through intelligent co-design of the proposed architecture and algorithms, we achieve an architecture which enables not only power and performance efficient implementation, but also fast and efficient run-time adaptation of Image compression parameters. To achieve efficient Image compression and run-time adaptation, we characterized the adaptation needs of an adaptive Image compression algorithm in terms of parameters, and implemented an adaptive hardware/software architecture capable of executing JPEC Image compression with different parameters. We present experimental results demonstrating that the proposed architecture enables low overhead adaptation to current wireless conditions and requirements while implementing a low cost (energy and performance) implementation of adaptive Image compression algorithms.
-
a hardware software reconfigurable architecture for adaptive wireless Image Communication
Asia and South Pacific Design Automation Conference, 2002Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
-
VLSI Design - A Hardware/Software Reconfigurable Architecture for Adaptive Wireless Image Communication
Proceedings of ASP-DAC VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design, 1Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
Sang-tae Lee - One of the best experts on this subject based on the ideXlab platform.
-
Server and client simulator for web‐based 3d Image Communication
Journal of Information Display, 2004Co-Authors: Sang-tae Lee, Eun-soo KimAbstract:Abstract In this paper, a server and client simulator for the web‐based multi‐view 3D Image Communication system is implemented by using the IEEE 1394 digital cameras, Intel Xeon server computer and Microsoft's DirectShow programming library. In the proposed system, two‐view Image is initially captured by using the IEEE 1394 stereo camera and then, this data is compressed through extraction of its disparity information in the Intel Xeon server computer and transmitted to the client system, in which multi‐view Images are generated through the intermediate views reconstruction method and finally display on the 3D display monitor. Through some experiments it is found that the proposed system can display 8‐view Image having a grey level of 8 bits with a frame rate of 15 fps.
Clark N. Taylor - One of the best experts on this subject based on the ideXlab platform.
-
Embedded Processor Design Challenges - Design of an adaptive architecture for energy efficient wireless Image Communication
Embedded Processor Design Challenges, 2002Co-Authors: Clark N. Taylor, Debashis Panigrahi, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation wireless appliances capable of Image Communication. However, wireless Image Communication faces significant bottlenecks including high energy and bandwidth consumption. Past studies have shown that the bottlenecks to wireless Image Communication can be overcome by developing adaptive Image compression algorithms and dynamically adapting them to current channel conditions and service requirements [1,2].In this paper, we present the design of an adaptive hardware/software architecture that enables adaptive wireless Image Communication. Through intelligent co-design of the proposed architecture and algorithms, we achieve an architecture which enables not only power and performance efficient implementation, but also fast and efficient run-time adaptation of Image compression parameters. To achieve efficient Image compression and run-time adaptation, we characterized the adaptation needs of an adaptive Image compression algorithm in terms of parameters, and implemented an adaptive hardware/software architecture capable of executing JPEC Image compression with different parameters. We present experimental results demonstrating that the proposed architecture enables low overhead adaptation to current wireless conditions and requirements while implementing a low cost (energy and performance) implementation of adaptive Image compression algorithms.
-
a hardware software reconfigurable architecture for adaptive wireless Image Communication
Asia and South Pacific Design Automation Conference, 2002Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
-
VLSI Design - A Hardware/Software Reconfigurable Architecture for Adaptive Wireless Image Communication
Proceedings of ASP-DAC VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design, 1Co-Authors: Debashis Panigrahi, Clark N. Taylor, Sujit DeyAbstract:With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless Image Communication. One of the major bottlenecks in enabling wireless Image Communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies. Past studies have shown that the bottlenecks can be overcome by developing adaptive multimedia compression algorithms which can adapt to dynamic channel conditions and service requirements {tyrh00,taylor01}.In this paper, we present an application-specific hardware/software reconfigurable architecture to support adaptive Image compression algorithms. We present a design methodology which considers co-design between adaptive algorithms and architectural design leading to a reconfigurable architecture for Image compression algorithms. Co-design of the proposed architecture aims not only at performance and power efficient implementation, but also towards fast and efficient run-time adaptation of an adaptive Image compression algorithm. Finally, we present experimental results demonstrating that the proposed architecture provides a low cost (performance, energy) implementation for the adaptive Image compression algorithm, and necessary run-time adaptation to current wireless conditions and requirements with very low overhead.
