Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: paper presents an overview of the Drone Protect Task (DPT) of MediaEval 2015, its objectives, related dataset, and evaluation approach. Participants in this task re required to implement a privacy filter or a combination of filters to protect various personal information regions in the video sequences provided. The challenge was to achieve an adequate balance beten the degree of privacy protection, intelligibility (how much useful information is retained after privacy filtering), and pleasantness (how minimal re the adverse effects of filtering on the appearance of the video frames). The evaluation methods for this task include subjective evaluation by those working in the video surveillance sector and also by naive viers. 1. INTRODUCTION The number of drones deployed for civil applications and other non-military uses such as journalism, recreation, public safety, and precision agriculture is increasing. In particular, the deployment of the highly mobile and versatile drones for aerial surveillance in urban policing and crowd management gives rise to new challenges for civil liberties, privacy and safety. The ubiquity and enhanced capability of such surveillance can pose significant threats to citizens' privacy and therefore new mitigation technologies are needed to ensure an appropriate level of privacy protection. The Drone Protect Task (VPT) of MediaEval 2015 has thus provided an opportunity for experimentation to explore how video-analytic techniques may arrive at enhanced solutions to some visual privacy problems. This task focuses on privacy protection techniques that are responsive to the context-specific needs of persons for privacy. The DroneProtect performance evaluation involves three distinct user studies aimed at developing a deeper understanding of users' perceptions of the effects and side-effects of privacy filtering for a user-centered evaluation of the privacy solutions offered.
['Atta Badii', 'Pavel Korshunov', 'Hamid Oudi', 'Touradj Ebrahimi', 'Tomas Piatrik', 'Volker Eiselein', 'Natacha Ruchaud', 'Christian Fedorczak', 'Jean-Luc Dugelay', 'Diego Fernandez Vazquez']
I am writing a research paper on a idea Overview of the MediaEval 2015 Drone Protect Task
[{"from": "human", "value": "I am writing a research paper on a idea Overview of the MediaEval 2015 Drone Protect Task"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: paper presents an overview of the Drone Protect Task (DPT) of MediaEval 2015, its objectives, related dataset, and evaluation approach. Participants in this task re required to implement a privacy filter or a combination of filters to protect various personal information regions in the video sequences provided. The challenge was to achieve an adequate balance beten the degree of privacy protection, intelligibility (how much useful information is retained after privacy filtering), and pleasantness (how minimal re the adverse effects of filtering on the appearance of the video frames). The evaluation methods for this task include subjective evaluation by those working in the video surveillance sector and also by naive viers. 1. INTRODUCTION The number of drones deployed for civil applications and other non-military uses such as journalism, recreation, public safety, and precision agriculture is increasing. In particular, the deployment of the highly mobile and versatile drones for aerial surveillance in urban policing and crowd management gives rise to new challenges for civil liberties, privacy and safety. The ubiquity and enhanced capability of such surveillance can pose significant threats to citizens' privacy and therefore new mitigation technologies are needed to ensure an appropriate level of privacy protection. The Drone Protect Task (VPT) of MediaEval 2015 has thus provided an opportunity for experimentation to explore how video-analytic techniques may arrive at enhanced solutions to some visual privacy problems. This task focuses on privacy protection techniques that are responsive to the context-specific needs of persons for privacy. The DroneProtect performance evaluation involves three distinct user studies aimed at developing a deeper understanding of users' perceptions of the effects and side-effects of privacy filtering for a user-centered evaluation of the privacy solutions offered."}]