Architecture driven memory allocation for FPGA based real-time video processing systems

2011 ◽  
Author(s):  
Najeem Lawal ◽  
Benny Thornberg ◽  
Mattias O'Nils
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Memory Allocation

Design of a real-time video processing system with FPGA

2002 ◽  
Author(s):  
Wei Liu ◽  
Zeying Chi ◽  
Wenjian Chen
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Processing System

scholarly journals Video Oculographic System using Real-Time Video Processing

2015 ◽  
Vol 119 (22) ◽  
pp. 15-18
Author(s):  
Akshat Gambhir ◽  
K.S Boppaiah ◽  
M Shruthi Subbaiah ◽  
Pooja M ◽  
Kiran P
Keyword(s):  
Real Time ◽  
Video Processing

An FPGA-Based Prototyping System for Real-Time Verification of Video Processing Schemes

1999 ◽  
pp. 333-338 ◽  
Author(s):  
Holger Kropp ◽  
Carsten Reuter ◽  
Matthias Wiege ◽  
Tien-Toan Do ◽  
Peter Pirsch
Keyword(s):  
Real Time ◽  
Video Processing

Distributed Video Coding and Content Analysis for Resource Constraint Multimedia Applications

2012 ◽  
pp. 251-273
Author(s):  
Praveen Kumar ◽  
Amit Pande ◽  
Ankush Mittal ◽  
Abhisek Mudgal
Keyword(s):  
Video Coding ◽  
Real Time ◽  
Video Processing ◽  
Mobile Agents ◽  
Video Transmission ◽  
Moving Objects ◽  
Individual Case ◽  
Multimedia Applications ◽  
Real Time Processing ◽  
Laboratory Setup

Video coding and analysis for low power and low bandwidth multimedia applications has always been a great challenge. The limited computational resources on ubiquitous multimedia devices like cameras along with low and varying bandwidth over wireless network lead to serious bottlenecks in delivering real-time streaming of videos for such applications. This work presents a Content-based Network-adaptive Video-transmission (CbNaVt) framework which can waive off the requirements of low bandwidth. This is done by transmitting important content only to the end user. The framework is illustrated with the example of video streaming in the context of remote laboratory setup. A framework for distributed processing using mobile agents is discussed with the example of Distributed Video Surveillance (DVS). In this regard, the increased computational costs due to video processing tasks like object segmentation and tracking are shared by the cameras and a local base station called as Processing Proxy Server (PPS).However, in a distributed scenario like traffic surveillance, where moving objects is tracked using multiple cameras, the processing tasks needs to be dynamically distributed. This is done intelligently using mobile agents by migrating from one PPS to another for tracking an individual case object and transmitting required information to the end users. Although the authors propose a specific implementation for CbNaVt and DVS systems, the general ideas in design of such systems exemplify the way information can be intelligently transmitted in any ubiquitous multimedia applications along with the use of mobile agents for real-time processing and retrieval of video signal.

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