• P33: Reducing Backlight Power Consumption for Streaming Video Applications on Mobile Handheld Devices Sudeep Pasricha, Shivajit Mohapatra, Manev Luthra, Nikil Dutt, & Nalini Venkatasubramanian • P32: An Energy Optimization Technique for Latency and Quality Constrained Video Applications Chaeseok Im & Soonhoi Ha • P38: On-line Voltage Scheduling for Multimedia Applications Shaoxiong Hua & Gang Qu

This paper mainly introduces a method of making Mini‐LED backlight reflective layer by 3D printing technology. Compared with the conventional method, this improves optical brightness and yield product while simplifying technological process.

This paper describes an ongoing project that has the aim to develop a low cost application to replace a computer mouse for people with physical impairment. The application is based on an eye tracking algorithm and assumes that the camera and the head position are fixed. Color tracking and template matching methods are used for pupil detection. Calibration is provided by neural networks as well ...

An optical touch screen based on gratings and waveguides is proposed. Light from the backlight source with the wavelength of 440nm is coupled into the waveguide matrix by gratings for sensing. Small detector arrays are included. The design significantly reduces the cost and complexity as compared to conventional optical touch technologies, which can also improve the color purity of the display....

this study has been done with the aim of determining the effect of financial and nonfinancial compensation satisfaction on employee engagement considering mediator role of perceived organizational justice. the research statistical population included eight hundred sixty two isfahan municipality employees. three hundred fourtheen persons were selected as the research sample by stratified random ...

In order to detect faces in pictures presenting difficult real-world conditions such as dark background or backlighting, we propose a new method which is robust to varying illuminations and which automatically adapts itself to these lighting changes. The proposed face detection technique is based on an efficient AdaBoost super-classifier and relies on multiple features, namely, the global inten...