Abstract

This paper proposes an ultrafast scalable embedded image compression scheme based on discrete cosine transform. It is designed for general network architecture that guarantees maximum end-to-end delay (EED), in particular the Distributed Multimedia Plays (DMP) architecture. DMP is designed to enable people to perform delay-sensitive real-time collaboration from remote places via their own collaboration space (CS). It requires much lower EED to achieve good synchronization than that in existing teleconference systems. A DMP node can drop packets from networked CSs intelligently to guarantee its local delay and degrade visual quality gracefully. The transmitter classifies visual information in an input image into priority ranks. Included in the bitstream as side information, the ranks enable intelligent packet dropping. The receiver reconstructs the image from the remaining packets. Four priority ranks for dropping are provided. Our promising results reveal that, with the proposed compression technique, maximum EED can be guaranteed with graceful degradation of image quality. The given parallel designs for its hardware implementation in FPGA shows its technical feasibility as a module in the DMP architecture.

Highlights

  • Greater interest in green technology and rapid technological advances opens ways to conceive multi-party collaboration from distributed places via tele-immersive environment

  • Video data is essential to good synchronization between dancers as they depend on visual cues [3]

  • The greatest demand to meet and guarantee such low end-to-end delay (EED) lies in processing visual information

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Summary

INTRODUCTION

Greater interest in green technology and rapid technological advances opens ways to conceive multi-party collaboration from distributed places via tele-immersive environment. Very low EED implies minimizing or even avoiding video coding at the expense of high increase in bit rate. It implies the use of intraframe, object-based and parallel processing. To guarantee both the constant EED and the graceful degradation of visual quality, a novel network architecture namely Distributed Multimedia Plays (DMP) has been proposed [16]. The collaboration system on the DMP algorithm must work fast due to the very low EED It means that the processing routines are to be implemented in hardware.

ANALYSIS OF THE KRIGING ALGORITHM AND THE PROPOSED ARCHITECTURE
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Computational Complexity
Resource Consumption
Findings
CONCLUSION AND FUTURE DIRECTION
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