Abstract

An efficient moving object extraction algorithm suitable for real-time content-based multimedia streaming systems is proposed in this paper. A Motion Vector (MV) based object extraction is used to dynamically detect the objects. To utilize the bandwidth efficiently, the important object can be real time detected, encoded, and transmitted with higher quality and higher frame rate than those of background. In order to meet the real-time requirement, no computationally intensive operation is included in this framework. Moreover, in order to guarantee the highest speed, all the implementation is operating on the compressed domain without need for decompression. Good extraction performance is demonstrated by the experiment results.

Highlights

  • An efficient moving object extraction algorithm suitable for real-time content-based multimedia streaming systems is proposed in this paper

  • [19] Uskov pointed out multimedia streaming as one of the active tools for advanced web-based education systems

  • To achieve the objective of object based streaming system, a reliable object extraction mechanism is needed as a primary step

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Summary

INTRODUCTION

[19] Uskov pointed out multimedia streaming as one of the active tools for advanced web-based education systems. Videos extraction, which extracts the shape information of moving object form the video sequence, is a key operation for object based video streaming [20], multimedia content description [3], [4], and intelligent signal processing. Motion extraction complicates the object extraction problem by imposing the additional requirement of tracking an object’s temporal position. It provides an additional information source that can be exploited for the purpose of object extraction by algorithms operating over the uncompressed [1] or compressed domains [2,3]. When using visual attributes for object extraction, we will often need to perform processing in the pixel domain, which includes the additional burden of attribute extraction. Compressed video data offers us additional information like DC coefficients and motion vectors

RELATED WORK
OBJECT EXTRACTION SYSTEM
Features Extraction
Texture Filtering
Object Extraction
VIDEO STREAMING
EXPERIMENTAL RESULTS AND DISCUSSION
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