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Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
(Georgia Institute of Technology, 2014-06)
We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical
graph-based approach. Our algorithm processes a moving ...
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
(Georgia Institute of Technology, 2014)
We present an algorithm to estimate depth in dynamic video scenes. We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene. Using our method, depth ...
Video Based Assessment of OSATS Using Sequential Motion Textures
(Georgia Institute of Technology, 2014)
We present a fully automated framework for video based surgical skill assessment that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. We replicate Objective Structured ...
Automated surgical OSATS prediction from videos
(Georgia Institute of Technology, 2014-04)
The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. ...
Clustering Social Event Images using Kernel Canonical Correlation Analysis
(Georgia Institute of Technology, 2014-06)
Sharing user experiences in form of photographs, tweets, text, audio and/or video has become commonplace in social networking websites. Browsing through large collections of social multimedia remains a cumbersome task. ...