How is energy consumed in smartphone display applications?

Abstract

Smartphones have emerged as a popular and frequently used platform for the consumption of multimedia. New display technologies, such as AMOLED, have been recently introduced to smartphones to fulfill the requirements of these multimedia applications. However, as an AMOLED screen's power consumption is determined by the display content, such applications are often limited by the battery life of the device they are running on, inspiring many researches to develop new power management schemes. In this work, we evaluate the power consumption of several applications on a series of Samsung smartphones and take a deep look into AMOLED's power consumption and its relative contributions for multimedia apps. We improve AMOLED power analysis by considering the dynamic factors in displaying, and analyze the individual factors affecting power consumption when streaming video, playing a video game, and recording video via a device's built-in camera. Our detailed measurements refine the power analysis of smartphones and reveal some interesting perspectives regarding the power consumption of AMOLED displays in multimedia applications.

Auto-brightness control technology depending on user’s pupil area

“…5 shows that the appropriate luminance is proportional to the logarithm of the ambient illuminance. Thus, we can calculate an ambient illuminance level by measuring one's pupil area by (1). Further, the ambient illuminance level calculated by (1) enables us to obtain an appropriate display luminance level by (2).…”

“…In addition, the displays for mobile applications feature higher image quality like higher resolution, higher pixel density, and vivid colors. As a result, such mobile displays with high performance require more electric power [1], which shortens the battery usage time. To resolve the inconvenience, an automatic brightness control (ABC) technology has been developed.…”

MyMedia: Mobile Semantic Peer-to-Peer Video Search and Live Streaming

“…A MyMedia 1.0 peer uses its service selection component iSeM [14] for the hybrid semantic matching and ranking of semantic video descriptions in OWL-S with a given query. In particular, iSeM performs text similarity-based, logical concept and structural ontology-based matching, and learns the optimal aggregation of these filters in terms of precision 4 During the search each peer observes and analyses the information of the traversing query walkers in order to learn about and update its local view of the semantic overlay, the current demands (queries) of other peers and supplies of items (semantic descriptions) by other peers in the network. The routing decision for every query walker q k a peer p receives is based on its local knowledge of the semantic overlay.…”

“…MyMedia peers are following the ISO/IEC standard MPEG-DASH (MPEG Dynamic Adaptive Streaming over HTTP as delivery protocol) [10,31] for DASH-compliant video encoding and their local pDASH components to perform a network 4 The selector iSeM offers a high average precision of up to 0.92 for the test collection OWLS-TC4 of the international semantic service selection contest [15]. capacity-based adaptive P2P live streaming.…”

Adaptive luminance contrast for enhancing reading performance and visual comfort on smartphone displays

“…1,2 However, as portable digital devices have become more accessible in everyday life, 3 paper reading materials are being replaced with visual display terminals. Compared with printed texts which are seen through recognizing reflected lights, digital displays are a self-illuminant surface which emit light, resulting in more stress to the human eye.…”