Some remarks on choosing video stream encoding for remote video verification on Android mobile devices

Video verification on mobile devices, such as cell phones and tablet PCs, allows users to remotely check what is happening in a particular place without the need to constantly monitor the site and record video from the camera. This requires appropriate stream encoding to be applied. Unfortunately, existing encoding standards, widely used in video monitoring, have several drawbacks. In the paper, we show some remarks on choosing video stream encoding for video verification on Android-based mobile devices. Results of performed tests on bandwidth usage have shown that encoding based on passing static frames in JPEG format translates very well into an environment where the camera's resolution is often higher than the mobile device screen.

[1]  Johannes Kneip,et al.  Applying and implementing the MPEG-4 multimedia standard , 1999, IEEE Micro.

[2]  Miska M. Hannuksela,et al.  H.264/AVC in wireless environments , 2003, IEEE Trans. Circuits Syst. Video Technol..

[3]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[4]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..

[5]  Tadeusz Burczyński,et al.  Genetic generation of 2D and 3D structures , 2003 .

[6]  David S. Doermann,et al.  Issues in the transmission, analysis, storage and retrieval of surveillance video , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[7]  Tadeusz Burczynski,et al.  Sequential and Distributed Evolutionary Computations in Structural Optimization , 2004, ICAISC.

[8]  Ajay Luthra,et al.  The H.264/AVC Advanced Video Coding standard: overview and introduction to the fidelity range extensions , 2004, SPIE Optics + Photonics.

[9]  Touradj Ebrahimi,et al.  Surveillance video for mobile devices , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[10]  Zhong Fan,et al.  Bandwidth Allocation for MPEG-4 Traffic in IEEE 802.11e Wireless Networks Based on Traffic Prediction , 2007, Future Generation Communication and Networking (FGCN 2007).

[11]  Wen-Tsuen Chen,et al.  Design and Implementation of a Real Time Video Surveillance System with Wireless Sensor Networks , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[12]  François Brémond,et al.  Scalable Video Transmission for a Surveillance System , 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).

[13]  Peter Schelkens,et al.  The JPEG 2000 Suite , 2009 .

[14]  Md. Liakot Ali,et al.  Development of mobile phone based surveillance system , 2010, 2010 13th International Conference on Computer and Information Technology (ICCIT).

[15]  Understanding Compression Technologies for HD and Megapixel Surveillance , 2011 .

[16]  Behrooz Shirazi,et al.  Home automation and security for mobile devices , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[17]  Takeshi Kato,et al.  High-definition surveillance camera control system from mobile phones , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[18]  G. P. Hancke,et al.  Design of a low cost video monitor store and forward device , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[19]  F. Belqasmi,et al.  A 3GPP 4G Evolved Packet Core-based system architecture for QoS-enabled mobile video surveillance applications , 2012, 2012 Third International Conference on The Network of the Future (NOF).