Real-time video frame differentiator based on DDR3 SDRAM memory interface
MetadataShow full item record
CitationDavutoğlu, D., Yıldız, N., Ayten, U. E. & Tavşanoǧlu, A. V. (2018). Real-time video frame differentiator based on DDR3 SDRAM memory interface. Paper presented at the International Workshop on Cellular Nanoscale Networks and their Applications, 96-98.
In this paper, design of a real-time video frame differentiator based on an external memory interface is proposed. Furthermore, implementation and simulation processes of the design is discussed. The proposed design is capable of differentiating video frames over time, up to full-HD resolution at 60 Hz frame rate. An external SDRAM memory unit is used within the proposed design and drived by a memory interface. In order to improve the flexibility of the architecture, video resolution, video buffer size on memory and burst size of the memory interface are designed to be user defined and configurable.
SourceInternational Workshop on Cellular Nanoscale Networks and their Applications
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/closedAccess
Showing items related by title, author, creator and subject.
Davutoğlu, Doğancan; Yıldız, Nerhun; Ayten, Umut Engin; Tavşanoğlu, Ahmet Vedat (IEEE Computer Society, 2018-08)Implementation and demonstration processes of a real-time video frame differentiator based on an external memory interface is described in this paper. The video frame differentiation process is successfully implemented on ...
In this paper, the features of the next generation Real-Time Cellular Neural Network Processor (RTCNNP-v3) are discussed. The RTCNNP-v2 structure is the only CNN implementation that is reported to be capable of processing ...
This paper presents a new VLSI architecture for sub-pixel motion estimation in H.264/AVC encoder. It is based on an interpolation free algorithm that causes a high level reduction on memory requirement, hardware resources ...