Title :
SCOUTER: Content-based multiple-instance object retrieval system
Author :
Mitrea, C.A. ; Carata, S. ; Ghenescu, M.
Author_Institution :
UTI GRUP, Bucharest, Romania
fDate :
June 29 2015-July 3 2015
Abstract :
The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the “Politehnica” University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching of a general class, a particular object, retrieval of distinctive regions of interest or patterns). Such functionalities are user-driven as the challenges are derived from the practice of police forensics teams on dealing with analysis of large video datasets. Findings and outputs of the presented project are contributed to the understanding of the constraints and issues that are particular to real-world video surveillance datasets and processing systems and further to alleviate analysis efforts of police investigations.
Keywords :
content-based retrieval; image forensics; police data processing; research and development; video retrieval; video surveillance; Politehnica University of Bucharest; Romanian R&D National Framework; SCOUTER project; UTI GRUP; content-based multiple-instance object retrieval system; general class search; large-video datasets; object search; offline processing application module; pattern retrieval; police forensics teams; region-of-interest retrieval; video surveillance footage; Algorithm design and analysis; Conferences; Feature extraction; Image color analysis; Search problems; Shape; Video surveillance; automated video surveillance; content-based object retrieval; pattern matching;
Conference_Titel :
Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on
Conference_Location :
Turin
DOI :
10.1109/ICMEW.2015.7169821