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  1. Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV '13)
  2. Addressing the semantic gap between video sensors and applications
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Data prefetching to reduce energy use by heterogeneous disk arrays in video servers
Game as video: bit rate reduction through adaptive object encoding
TCP receive buffer aware wireless multimedia streaming: an energy efficient approach
Server-based traffic shaping for stabilizing oscillating adaptive streaming players
Continuous one-way available bandwidth change detection in high definition video conferencing
What should you cache?: a global analysis on YouTube related video caching
User-centric video delay measurements
Addressing the semantic gap between video sensors and applications
Dynamic resource allocation for cloud-based media processing
Controlling the transfer of Kinect data to a cloud-hosted games platform

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Addressing the semantic gap between video sensors and applications

Content Provider ACM Digital Library
Author Nguyen, Khanh Feng, Wu-chi Dang, Thanh Liu, Feng
Abstract In this paper, we propose a framework to support the bridging of applications and computer-vision based sensor networks. We argue that the semantic gap, the difference between the data collected in a sensor network and the information needed by the application, in video-based sensor networks can only be addressed by providing systems support in such a way that allows users and computing systems to meet in the middle. We first outline the vision of the system that we are working towards. We then describe initial experiments that we have conducted using a functional component of the system applied to real-world video data that is being collected by intelligent transportation systems researchers.
Starting Page 43
Ending Page 48
Page Count 6
File Format PDF
ISBN 9781450318921
DOI 10.1145/2460782.2460790
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-02-26
Publisher Place New York
Access Restriction Subscribed
Subject Keyword User interfaces Video sensors Data fusion
Content Type Text
Resource Type Article
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