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The Beaglebone Black single-board computer is well-suited for real-time embedded applications because its system-on-a-chip contains two "Programmable Real-time Units" (PRUs): 200-MHz microcontrollers that run concurrently with the main 1-GHz CPU that runs Linux. This paper introduces "Cyclops": a web-browser-based IDE that facilitates the development of embedded applications on...
The requirement of distributed computing of all-to-all comparison (ATAC) problems in heterogeneous systems is increasingly important in various domains. Though Hadoop-based solutions are widely used, they are inefficient for the ATAC pattern, which is fundamentally different from the MapReduce pattern for which Hadoop is designed. They exhibit poor data locality and unbalanced allocation of comparison...
Distributed computation and storage have been widely used for processing of big data sets. For many big data problems, with the size of data growing rapidly, the distribution of computing tasks and related data can affect the performance of the computing system greatly. In this paper, a distributed computing framework is presented for high performance computing of All-to-All Comparison Problems. A...
In this paper, we aim to address the problem of naming faces in feature-length films using video and film script. Different from the state-of-the-art methods on naming faces in the videos, most of which used a local matching between a visible face and one of the names extracted from the local video transcript, we use a global matching between names and faces as it is not easy to obtain enough local...
This paper presents a novel approach to automatically identify characters in films using audio visual cues and text analysis. The approach consists of three stages: (i) frontal face track detection and clustering, (ii) face track classification, (iii) name assignment. A finite state machine (FSM) method is utilized to filter faces detected on each frame and build face tracks. The face tracks are clustered...
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