@comment{This file has been generated by the Publication Database}

@Article{Hoogs+Perera+Collins+Basharat+Fieldhouse+Atkins+Sherrill+Boeckel+Blue+Woehlke+Greco+Sun+Swears+Cuntoor+Luck+Drew+Hanson+Rowley+Kopaz+Rude+Keefe+Srivastava+Khanwalkar+Kumar+Chen+Aggarwal+Davis+Yacoob+Jain+Liu+Chang+Song+Roy-Chowdhury+Sullivan+Tesic+Chandrasekaran+Manjunath+Wang+Ji+Reddy+Liu+Shah+Chang+Chen+Desai2015,
  Author	= "Anthony Hoogs and Amitha Perera and Roderic Collins and Arslan Basharat and Keith Fieldhouse and Charles Atkins and Linus Sherrill and Ben Boeckel and Russell Blue and Matthew Woehlke and Christopher Greco and Zhaohui Sun and Eran Swears and Naresh Cuntoor and Jason Luck and Brendan Drew and Danny Hanson and Dale Rowley and John Kopaz and Trebor Rude and Dan Keefe and Amit Srivastava and Saurabh Khanwalkar and Anoop Kumar and Chia-chihc. Chen and  J. K. Aggarwal and Larry Davis and Yaser Yacoob and Arpit Jain and Dong Liu and Shih-FuF. Chang and Bi Song and Amit Roy-Chowdhury and Kenneth Sullivan and Jelena Tesic and Shivkumar Chandrasekaran and  B. S. Manjunath and Xiaoyang Wang and Qiang Ji and Kishore Reddy and Jingen Liu and Mubarak Shah and Kevin Chang and Tsuhan Chen and Mita Desai",
  Title		= "An End-to-End System for Content-Based Video Retrieval using Behavior, Actions, and Appearance with Interactive Query Refinement",
  Year		= 2015,
  Month	= 08,
  Abstract	= "We describe a system for content-based retrieval from large surveillance video archives, using behavior, action and appearance of objects. Objects are detected, tracked, and classified into broad categories. Their behavior and appearance are characterized by action detectors and descriptors, which are indexed in an archive. Queries can be posed as video exemplars, and the results can be refined through relevance feedback. The contributions of our system include the fusion of behavior and action detectors with appearance for matching; the improvement of query results through interactive query refinement (IQR), which learns a discriminative classifier online based on user feedback; and reasonable performance on low resolution, poor quality video. The system operates on video from ground cameras and aerial platforms, both RGB and IR. Performance is evaluated on publicly-available surveillance datasets, showing that subtle actions can be detected under difficult conditions, with reasonable improvement from IQR.",
  Conference	= "12th IEEE International Conference on Advanced Video and Signal-based Surveillance, Karlsruhe, Germany",
  Institution	= "Kitware, Inc",
}