By Bir Bhanu, Prue Talbot
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Extra info for Video Bioinformatics: From Live Imaging to Knowledge
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5. Multiple moving entities with simultaneous changes in their global/local shape need to be analyzed and modeled. 6. The interactions of component parts of an entity and interaction among multiple entities while in motion need to be analyzed and modeled. 7. , 2D image vs. 1D track) for understanding and modeling of events and detection of anomalous behavior needs to be performed. 6 B. Bhanu and P. Talbot The specific computational challenges include algorithmic issues in modeling complex biological motion, segmentation in the presence of complex nonstationary background, elastic registration of frames in the video, complex shape changes, nonlinear movement of biological entities, classification of entities within the cell, recognition in the presence of occlusion, articulation and distortion of shape, adaptation and learning over time, recognition of spatiotemporal events and activities and associated queries and database organization, indexing and search, and computational (space/time) complexity of video processing.
A compilation of segmentation error rates comparing various algorithms. . . . . . . . . . . . . Summary of tracking error rates . . . . . . . . List of VBI software . . . . . . . . . . . . Results on AVEC 2012 development set frame-level sub-challenge . . . . . . . . . . . . . . . Comparison of fusion methods . . . . . . . . . Interdatabase testing for score-based facial emotion recognition on CK +, MMI-DB and JAFFE databases .
Summary of tracking error rates . . . . . . . . List of VBI software . . . . . . . . . . . . Results on AVEC 2012 development set frame-level sub-challenge . . . . . . . . . . . . . . . Comparison of fusion methods . . . . . . . . . Interdatabase testing for score-based facial emotion recognition on CK +, MMI-DB and JAFFE databases . Comparison of publicly available data sets . . . . . 101 . . . . . . . 114 143 143 144 144 145 145 .....