Comparing power consumption of an SMT and a CMP DSP for mobile phone workloads
CASES '01 Proceedings of the 2001 international conference on Compilers, architecture, and synthesis for embedded systems
Moving Java into Mobile Phones
Computer
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Graphics for the masses: a hardware rasterization architecture for mobile phones
ACM SIGGRAPH 2003 Papers
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Visual tracking of bare fingers for interactive surfaces
Proceedings of the 17th annual ACM symposium on User interface software and technology
TinyMotion: camera phone based interaction methods
CHI '06 Extended Abstracts on Human Factors in Computing Systems
User experiences with mobile phone camera game interfaces
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Camera phone based motion sensing: interaction techniques, applications and performance study
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Measurement of absolute latency for video see through augmented reality
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Experiences with Handheld Augmented Reality
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Back-of-device interaction allows creating very small touch devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Vision based technology such as motion detection has long been limited to the domain of powerful processor intensive systems such as desktop PC's and specialist hardware solutions. With the advent of much faster mobile phone processors and memory we are now seeing a plethora of feature rich software being deployed onto the mobile platform. Since these high powered smart phones are now equipped with cameras, it has become feasible to combine their powerful processors and the camera to support new ways of interacting with the phone. However, it is not clear whether or not these processor intensive visual interactions can in fact be run at an acceptable speed on current mobile handsets. In this paper we look at one of the most popular and widespread mobile smart phone systems; the Symbian s60 and benchmark the speed, accuracy and deployability of the three popular mobile languages. We test a pixel thresholding algorithm in, C++, Python and Java and rank them based on their speed within the context of intensive image based processing.