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An app developed by Cornell researchers uses augmented reality to help users repeatedly capture images from the same location with a phone or tablet to make time-lapse videos – without leaving a camer...
We learn a lot about objects by manipulating them: poking, pushing, prodding, and then seeing how they react.We obviously can’t do that with videos — just try touching that cat video on your phone and...
We present an interactive texture painting system that allows the user to author digital images by painting with a palette of input textures. At the core of our system is an interactive texture synth...
Semantic labeling is the task of assigning category labels to regions in an image. For example, a scene may consist of regions corresponding to categories such as sky, water, and ground, or parts of a...
Fine-Granular SNR scalable (FGS) technologies in H.264/AVC-based scalable video coding (SVC) provide a flexible and effective foundation for scaling FGS enhancement layer (EL) to accommodate different...
In this paper, we propose a simple and effective ratedistortion model of fine-granular SNR scalable (FGS) layer in JVT scalable video coding (SVC). First, we introduce generalized Gaussian distributio...
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve textu...
Fine-granular scalability (FGS) has been accepted as the streaming profile of MPEG-4 to provide a flexible foundation for scaling the enhancement layer (EL) to accommodate variable network capacity. T...

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