Efficient video segmentation algorithm for real-time MPEG-4 camera system

2000 ◽  
Author(s):  
Shao-Yi Chien ◽  
Shyh-Yih Ma ◽  
Liang-Gee Chen
Keyword(s):  
Real Time ◽  
Video Segmentation ◽  
Segmentation Algorithm ◽  
Camera System ◽  
Efficient Video

scholarly journals A Time-Consistent Video Segmentation Algorithm Designed for Real-Time Implementation

VLSI Design ◽  
2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
M. El Hassani ◽  
S. Jehan-Besson ◽  
L. Brun ◽  
M. Revenu ◽  
M. Duranton ◽  
...  
Keyword(s):  
Real Time ◽  
Video Segmentation ◽  
Computational Cost ◽  
Segmentation Algorithm ◽  
Motion Information ◽  
Temporal Consistency ◽  
Merging Process ◽  
Specific Order ◽  
Previous Frame ◽  
Low Computational Cost

We propose a time-consistent video segmentation algorithm designed for real-time implementation. Our algorithm is based on a region merging process that combines both spatial and motion information. The spatial segmentation takes benefit of an adaptive decision rule and a specific order of merging. Our method has proven to be efficient for the segmentation of natural images with few parameters to be set. Temporal consistency of the segmentation is ensured by incorporating motion information through the use of an improved change-detection mask. This mask is designed using both illumination differences between frames and region segmentation of the previous frame. By considering both pixel and region levels, we obtain a particularly efficient algorithm at a low computational cost, allowing its implementation in real-time on the TriMedia processor for CIF image sequences.

scholarly journals A Time-Consistent Video Segmentation Algorithm designed for Real-Time Implementation

2006 ◽  
Author(s):  
Mohammed El Hassani ◽  
Delphine Rivasseau ◽  
Stephanie Jehan-Besson ◽  
Marinette Revenu ◽  
David Tschumperle ◽  
...  
Keyword(s):  
Real Time ◽  
Video Segmentation ◽  
Segmentation Algorithm

Efficient video segmentation using temporally updated mean shift clustering

2008 ◽  
Author(s):  
Nemanja Petrović ◽  
Ljubomir Jovanov ◽  
Aleksandra Pižurica ◽  
Wilfried Philips
Keyword(s):  
Video Segmentation ◽  
Mean Shift ◽  
Mean Shift Clustering ◽  
Efficient Video

The Challenges of Compressing and Streaming Real Time Video Originating from Mobile Devices

2012 ◽  
pp. 1-24
Author(s):  
Ngozi V. Uti ◽  
Richard Fox
Keyword(s):  
Real Time ◽  
Mobile Devices ◽  
Video Compression ◽  
Mobile Phones ◽  
Cell Phone ◽  
Academic Research ◽  
Streaming Video ◽  
The World ◽  
Computational Resources ◽  
Efficient Video

In recent years, mobile phones have become the de facto system of communication across the planet. Mobile phones have helped increase economic growth and critical response in many parts of the world. Mobile phones are even being used for data transmission. However, little academic research has been done on the specific problem of streaming real time video originating from the cameras of mobile devices over cell phone networks. There are many factors that complicate this problem including the limited computational resources of mobile phones, the low and variable bandwidth of cell phone networks, and the need for video compression and streaming algorithms that can be supported by both the mobile phones and cell phone networks. This chapter examines the problems involved and discusses on-going research on the topic. The main goal of this chapter is to identify the real time constraints and challenges of compressing and streaming video from mobile devices for the purpose of designing efficient video compression and streaming techniques that are able to work within the constraints of the limited computational resources and bandwidth available to mobile devices.

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