&lt;title&gt;Soft computing, advanced video/imaging processing, and communications&lt;/title&gt;

Jannson, Tomasz; Kostrzewski, Andrew A.; Kim, Dai Hyun; Ro, Sookwang; Ternovskiy, Igor V.

doi:10.1117/12.403616

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I-frames Vs M-frames1

Networked Visual Sensors1

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Cited by 2 publications

(2 citation statements)

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“…[4][5][6][7][8][9][10] . The avoiding high-motion-errors are a necessary condition of continuous communication; thus, M-frames provide a good baseline for real-time pre-ATR video data reduction.…”

Section: I-frames Vs M-framesmentioning

confidence: 99%

Real-time pre-ATR video data reduction in wireless networks

Jannson

Kostrzewski

2006

Automatic Target Recognition XVI

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Section: I-frames Vs M-framesmentioning

confidence: 99%

Real-time pre-ATR video data reduction in wireless networks

Jannson

Kostrzewski

2006

Automatic Target Recognition XVI

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“…MPEG compression is used to reduce the video size for transmission. By the use of intelligent frame management, a compression ratio of 4000: 1 is achieved [4]. In order to minimize the latency, real time software is developed using pSOSsystem pRTSM+ development platform.…”

Section: Networked Visual Sensorsmentioning

confidence: 99%

WLAN visual sensor networking

2002

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This paper presents a discussion on constructing a wireless ad hoc network using unattended ground visual sensors. The IEEE 802. 1 1 WLAN standard is used to implement a single-hop ad hoc network because of its simplicity. The bandwidth allocation and traffic control between visual sensors is coordinated by the Medium Access Control (MAC) protocol. A ground visual sensor tower is designed for the networking purpose with specially designed video compression, power management, and network module to achieve maximum throughput.

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<title>Soft computing, advanced video/imaging processing, and communications</title>

Cited by 2 publications

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Real-time pre-ATR video data reduction in wireless networks

Real-time pre-ATR video data reduction in wireless networks

WLAN visual sensor networking

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