Objective
Video surveillance systems became one of the most essential tools people rely on for keeping buildings, businesses, urban areas, and borders secure. As the number of deployed cameras increase rapidly, the ability of human observers to analyze the video in real-time is becoming almost impossible. Video analytics engines embedded in networked cameras and video analytics servers provide tools for automatically analyzing the scenes. However, the video compression hardware used in cameras is decoupled from and not aware of the embedded analytics engines, servers and other cameras possibly capturing the same scene. The objective of the proposed project is to design smart embedded video encoders that maximize the content and reliability of information extracted by the video analytics while minimizing the cost of deployment. Video compression algorithms that utilize the video analysis metadata to improve the prediction efficiency, computational resource and rate budget allocation will be designed. Objective video quality metrics specifically tailored for surveillance applications will be implemented to improve and judge the proposed techniques. Application specific quality measurement will be a new concept since previous studies in the literature focused on determining the perceptual distortion in images and videos. We also propose collaborative design of the video encoders located at cameras capturing overlapping scenes. Video analytics metadata will be utilized for joint multi-camera rate control and prediction algorithms. Finally, the project will tackle the robust data transmission challenges of the wireless surveillance systems. Wireless ad-hoc network state measurement and adaptive video streaming rate control techniques will be developed. A novel and scalable surveillance system will be devised upon the successful completion of the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-RG
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
06172 Yenimahalle Ankara
Türkiye
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.