TY - GEN
T1 - Toward contextual forensic retrieval for visual surveillance
T2 - 2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009
AU - Han, Seunghan
AU - Hutter, Andreas
AU - Stechele, Walter
PY - 2009
Y1 - 2009
N2 - In traditional visual surveillance systems, retrieval has been relying on indexing events and features extracted by visual analytic algorithms that were developed for well-defined, specific domains. However, due to the increasing need for intelligent forensic retrieval with contextual semantics, this approach is reaching its limits, because it is almost impossible to predict and model all situations at development time. Consequently, a more flexible and intelligent retrieval approach is required. The goal of this paper is to explore the scope of requirements and architectural options to solve this problem. We consider several query scenarios inspired by real events that would benefit from intelligent support. We derive challenges and requirements by reviewing state-of-the-art retrieval approaches in terms of the selected queries. Based on the derived requirements, we presentand discuss our architecture and its prototypical implementation.
AB - In traditional visual surveillance systems, retrieval has been relying on indexing events and features extracted by visual analytic algorithms that were developed for well-defined, specific domains. However, due to the increasing need for intelligent forensic retrieval with contextual semantics, this approach is reaching its limits, because it is almost impossible to predict and model all situations at development time. Consequently, a more flexible and intelligent retrieval approach is required. The goal of this paper is to explore the scope of requirements and architectural options to solve this problem. We consider several query scenarios inspired by real events that would benefit from intelligent support. We derive challenges and requirements by reviewing state-of-the-art retrieval approaches in terms of the selected queries. Based on the derived requirements, we presentand discuss our architecture and its prototypical implementation.
UR - http://www.scopus.com/inward/record.url?scp=70349282109&partnerID=8YFLogxK
U2 - 10.1109/WIAMIS.2009.5031468
DO - 10.1109/WIAMIS.2009.5031468
M3 - Conference contribution
AN - SCOPUS:70349282109
SN - 9781424436101
T3 - 2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009
SP - 201
EP - 204
BT - 2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009
Y2 - 6 May 2009 through 8 May 2009
ER -