Real-time video communications over GPRS

Fabri, S.N.; Worrall, Stewart; Sadka, A.H.; Kondoz, A.M.

doi:10.1049/cp:20000085

Cited by 14 publications

(6 citation statements)

References 6 publications

(5 reference statements)

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“…From the data telecommunication point of view, one of the development challenges was to reach good video/audio quality with the limited bandwidth provided by GPRS connection [12]. A long time was necessary to find the best compromise for packet length in order to achieve the required quality/bandwidth ratio.…”

Section: System Architecture and Implementationmentioning

confidence: 99%

Real-Time Transmission and Storage of Video, Audio, and Health Data in Emergency and Home Care Situations

Barbieri

Lambruschini

Raggio

et al. 2007

EURASIP J. Adv. Signal Process.

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The increase in the availability of bandwidth for wireless links, network integration, and the computational power on fixed and mobile platforms at affordable costs allows nowadays for the handling of audio and video data, their quality making them suitable for medical application. These information streams can support both continuous monitoring and emergency situations. According to this scenario, the authors have developed and implemented the mobile communication system which is described in this paper. The system is based on ITU-T H.323 multimedia terminal recommendation, suitable for real-time data/video/audio and telemedical applications. The audio and video codecs, respectively, H.264 and G723.1, were implemented and optimized in order to obtain high performance on the system target processors. Offline media streaming storage and retrieval functionalities were supported by integrating a relational database in the hospital central system. The system is based on low-cost consumer technologies such as general packet radio service (GPRS) and wireless local area network (WLAN or WiFi) for lowband data/video transmission. Implementation and testing were carried out for medical emergency and telemedicine application. In this paper, the emergency case study is described.

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Section: System Architecture and Implementationmentioning

confidence: 99%

Real-Time Transmission and Storage of Video, Audio, and Health Data in Emergency and Home Care Situations

Barbieri

Lambruschini

Raggio

et al. 2007

EURASIP J. Adv. Signal Process.

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“…Figure 4 shows the resulted client HMI. One of the development challenges was to employ a low bandwidth together with a good video quality using a GPRS connection [9]. It takes a long time to select a good compromise for packet length in order to achieve the requested quality/bandwidth ratio with a low frame rate and, fixed bitrate using an H.264 encoder.…”

Section: E Software Application Structurementioning

confidence: 99%

Health parameters and video live transmission with data storage on database, in emergency telemedicine

Bailo

Barbieri

Cevasco

et al. 2005

2nd International Conference on Broadband Networks, 2005.

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Mobile communication technologies could strongly help in facing health emergency situation. Thanks to wireless communication techniques, real time audio, video, medical parameters transmission and information storage are nowadays possible. Electrocardiogram, blood pressure and other patient's information are sent to a remote hospital/medical database center server. Actions taken by the emergency staff are stored for real time operative-center interaction and for a successive database consultation. The emergency video recording is often useful as legal evidence in case of disputation. In this paper a real time connection telemedical system is described. The system is based on low-cost consumer technologies such as GPRS and WiFi for low-band data/video transmission, H.264 for the real time video stream encoding and database video storage. A relational database has been used for store and query data. All system is based on Microsoft .Net technology allowing great portability and stability to overall modules, such as HMI (Human Machine Interface) and multimedia codecs.

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“…Recently, the MPEG-4 video coding standard, which features high compression rate, high interactive and objectoriented compression [6,7], has been introduced to wireless multimedia transmission [1,2]. It adopts block-matching algorithms with alpha binary plane to achieve motion estimation [3,8].…”

Section: Motion Estimation Algorithmsmentioning

confidence: 99%

“…real-time video/image transmission, video-ondemand, email/ web browsing and so on. Among these, realtime video-based applications play an important role of mobile multimedia service [1,2]. However, due to the inherent data intensity of video sequence, compression techniques are required to reduce the video size.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable hardware implementation of an improved parallel architecture for MPEG-4 motion estimation in mobile applications

Gao

Xu²,

Bentley³

2003

IEEE Trans. Consumer Electron.

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A reconfigurable hardware implementation of a high-parallel architecture for MPEG-4 motion estimation is proposed in this paper. It possesses the characteristics of low power dissipation and low cost, thus primarily aiming at video-based mobile applications. The architecture employs a dual-register/buffer technique to reduce preload and alignment cycles and a high-parallel pipeline to reduce power consumption of redundant memory access. As an example, a content-based full-search blockmatching algorithm has been mapped onto this architecture using a 16-PE array. This has the ability to calculate the motion vectors of 20fps QCIF video sequences in real time at 8.2 MHz clock rate with 36.76mw power dissipation using a Xilinx Spartan II FPGA.

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Real-time video communications over GPRS

Cited by 14 publications

References 6 publications

Real-Time Transmission and Storage of Video, Audio, and Health Data in Emergency and Home Care Situations

Real-Time Transmission and Storage of Video, Audio, and Health Data in Emergency and Home Care Situations

Health parameters and video live transmission with data storage on database, in emergency telemedicine

Reconfigurable hardware implementation of an improved parallel architecture for MPEG-4 motion estimation in mobile applications

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