The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Appearance-preserving simplification
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for realistic image synthesis
Communications of the ACM
Comparing Simplification and Image-Based Techniques for 3D Client-Server Rendering Systems
IEEE Transactions on Visualization and Computer Graphics
Detail to attention: exploiting visual tasks for selective rendering
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Defining user perception of distributed multimedia quality
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Visual equivalence: towards a new standard for image fidelity
ACM SIGGRAPH 2007 papers
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
IEEE Computer Graphics and Applications
Embodied interaction with a 3D versus 2D mobile map
Personal and Ubiquitous Computing
IEEE Transactions on Image Processing
On the move, wirelessly connected to the world
Communications of the ACM
Salience of visual cues in 3D city maps
BCS '10 Proceedings of the 24th BCS Interaction Specialist Group Conference
Mobile mixed reality interface developments
SIGGRAPH Asia 2012 Symposium on Apps
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We present the first study to discover optimal reality sampling for mobile imagery. In particular, we identify the minimum information required for fast recognition of images of directly perceivable real-world buildings displayed on a mobile device. Resolution, image size, and JPEG compression of images of façades were manipulated in a same--different recognition task carried out in the field. Best-effort performance is shown to be reachable with significantly lower detail granularity than previously thought. For best user performance, we recommend presenting images as large as possible on the screen and decreasing resolution accordingly.