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High-Level Synthesis (HLS) tools are hailed as one of the most promising ways to bridge the design productivity gap, especially for reconfigurable systems. These tools increase designer productivity at a possible performance and/or silicon cost, although the designer can play a significant role in the minimisation of both. Currently, one of the key challenges for the designer is to efficiently use...
To handle the stringent performance requirements of future exascale-class applications, High Performance Computing (HPC) systems need ultra-efficient heterogeneous compute nodes. To reduce power and increase performance, such compute nodes will require hardware accelerators with a high degree of specialization. Ideally, dynamic reconfiguration will be an intrinsic feature, so that specific HPC application...
Real-time segmentation of moving regions in image sequences is a very important task in numerous surveillance and monitoring applications. A common approach for such tasks is the “background subtraction” which tries to extract regions of interest from the image background for further processing or action; as a result its accuracy as well as its real-time performance is of great significance. In this...
Graph cuts are very popular methods for combinatorial optimization mainly utilized, while also being the most computational intensive part, in several vision schemes such as image segmentation and stereo correspondence; their advantage is that they are very efficient as they provide guarantees about the optimality of the reported solution. Moreover, when those vision schemes are executed in mobile...
To handle the stringent performance requirements of future exascale-class applications, High Performance Computing (HPC) systems need ultra-efficient heterogeneous compute nodes. To reduce power and increase performance, such compute nodes will require hardware accelerators with a high degree of specialization. Ideally, dynamic reconfiguration will be an intrinsic feature, so that specific HPC application...
One of the most important challenges in the field of Computer Vision is the implementation of low-power embedded systems that will execute very accurate, yet real-time, algorithms. In the visual tracking sector one of the most promising approaches is the recently introduced OpenTLD algorithm which uses a random forest classification method. While it is very robust, it cannot be efficiently parallelized...
One very important challenge in the field of multimedia is the implementation of fast and detailed Object Detection and Recognition systems. In particular, in the current state-of-the-art mobile multimedia systems, it is highly desirable to detect and locate certain objects within a video frame in real time. In this paper, we present a novel FPGA-based embedded implementation of a very efficient object...
Feature detectors are schemes that locate and describe points or regions of `interest' in an image. Today there are numerous machine vision applications needing efficient feature detectors that can work on Real-time; moreover, since this detection is one of the most time consuming tasks in several vision devices, the speed of the feature detection schemes severally affects the effectiveness of the...
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