2016International Journal of Advanced Media and CommunicationRequires access

Multi-video processing applications on FPGA

Lamjed Touil, Abdessalem Ben Abdelali, Abdellatif Mtibaa

Open publisher page 0 citations

Abstract

With the increasing needs of processing power in video and image processing for advanced media and communication applications, it is mandatory to go further than the software implementation to provide generic, real time, low cost and high performance hardware platforms. In this paper, we present a re-configurable, hardware platform for video and image processing. The proposed system uses the benefits of field programmable gate array FPGA to attain this objective. In this context, a prototype system is developed based on the Xilinx Virtex-5 FPGA with the integration of embedded processor, embedded memory, multi-port memory controller MPMC, standard interfaces, and different other resources. Our system includes different functional modules: video cut detection, video zoom-in and zoom-out. This provides the flexibility of using this system as a general video processing platform according to different application requirements. The final system utilises ∼16% of logic resource and 20% of on chip memory.

About this research paper

What this paper is about

With the increasing needs of processing power in video and image processing for advanced media and communication applications, it is mandatory to go further than the software implementation to provide generic, real time, low cost and high performance hardware platforms. In this paper, we present a re-configurable, hardware platform for video and image processing. The proposed system uses the benefits of field programmable gate array FPGA to attain this objective. In this context, a prototype system is developed based on the Xilinx Virtex-5 FPGA with the integration of embedded processor, embedded memory, multi-port memory controller MPMC, standard interfaces, and different other resources. Our system includes different functional modules: video cut detection, video zoom-in and zoom-out. This provides the flexibility of using this system as a general video processing platform according to different application requirements. The final system utilises ∼16% of logic resource and 20% of on chip memory.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

With the increasing needs of processing power in video and image processing for advanced media and communication applications, it is mandatory to go further than the software implementation to provide generic, real time, low cost and high performance hardware platforms. In this paper, we present a re-configurable, hardware platform for video and image processing. The proposed system uses the benefits of field programmable gate array FPGA to attain this objective. In this context, a prototype system is developed based on the Xilinx Virtex-5 FPGA with the integration of embedded processor, embedded memory, multi-port memory controller MPMC, standard interfaces, and different other resources. Our system includes different functional modules: video cut detection, video zoom-in and zoom-out. This provides the flexibility of using this system as a general video processing platform according to different application requirements. The final system utilises ∼16% of logic resource and 20% of on chip memory.

Key concepts: Computer science, Field-programmable gate array, Embedded system, Video processing, Zoom, Computer hardware, Image processing, Flexibility (engineering)

Related papers

Back to paper searchBrowse research topicsOriginal source
Multi-video processing applications on FPGA — Research Paper | ScholarLens