An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement

• Main Authors: Hoogs A., Perera A.G.A., Collins R., Basharat A., Fieldhouse K., Atkins C., Sherrill L., Boeckel B., Blue R., Woehlke M., Greco C., Sun Z., Swears E., Cuntoor N., Luck J., Drew B., Hanson D., Rowley D., Kopaz J., Rude T., Keefe D., Srivastava A., Khanwalkar S., Kumar A., Chen C.C., Aggarwal J.K., Davis L., Yacoob Y., Jain A., Liu D., Chang S.-F., Song B., Roy-Chowdhury A., Sullivan K., Tešić J., Chandrasekaran S., Manjunath B.S., Wang X., Ji Q., Reddy K., Liu J., Shah M., Chang K., Chen T., Desai M.
• Other Authors: OFFICE OF THE PROVOST
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2018
• Subjects: Cameras; Graphical user interfaces; Image resolution; Metadata; Surveillance; Tracking; Vehicles
• Online Access: http://scholarbank.nus.edu.sg/handle/10635/146074
• Institution: National University of Singapore

10.1109/AVSS.2015.7301807