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This paper presents a dynamically reconfigurable architecture for real time video adaptation in order to address different terminals and bandwidths. This architecture is designed to adapt a compressed stream in advanced video coding standard (H264/AVC) using the scalable extension (H264/SVC) with additional refinement in quality transcoding. A low quality and high quality streams requiring different...
Blind people face a number of challenges when interacting with their environments because so much information is encoded visually. Text is pervasively used to label objects, colors carry special significance, and items can easily become lost in surroundings that cannot be quickly scanned. Many tools seek to help blind people solve these problems by enabling them to query for additional information,...
This paper presents an overview of self-contained automated video analytics units that are man-portable and constitute nodes of a large-scale distributed sensor network. The paper highlights issues with traditional video surveillance systems in volatile environments such as a battle field and provides solutions to them in the form of Rapidly Deployable Video Analysis sensors. We discuss scientific...
We present a prototype collaborative application for archaeology that allows archeologists from remote locations to interact in real time with 3D archeological models through a shared virtual environment using teleimmersive technology. At each location, a set of stereo cameras captures 3D video of the user in real time to create his/her avatar. The 3D data is sent over the network to the remote location...
Figure/Ground segmentation is of great interest within the analysis of video streams. We propose a new, continuous evaluation measure for figure/ground segmentation algorithms which allows for assessing the quality of a segmentation. The evaluation approach is based on set similarities and logic-motivated considerations. Results obtained with the new measure are shown for several well-known algorithms...
We present a study on grocery detection using our object detection system, ShelfScanner, which seeks to allow a visually impaired user to shop at a grocery store without additional human assistance. ShelfScanner allows online detection of items on a shopping list, in video streams in which some or all items could appear simultaneously. To deal with the scale of the object detection task, the system...
We present an extensible platform that integrates state of the art computer vision techniques with mobile communications to deliver a portable visual assistance tool. Live input video from a mobile smartphone is streamed over a 3G or wireless connection while an object recognition engine on a desktop processes the data stream. Recognition results are returned in real-time to the mobile device and...
In this paper, we present a new temporal quantization-based method using repeated weighted boosting search (RWBS) to navigate the video content non-uniformly. In particular, we formulate the rapid video navigation problem as a generic sampling problem. We present a video temporal density function (VTDF) based on the inter-frame mutual information to describe the time density of video activities. A...
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