Efficient Object-grained Video Inpainting with Personalized Recovery and Permission Control

Online video-centric service is an emerging application paradigm that enables users to access personalized video services using public equipment. However, it also brings many privacy and security issues, since the online videos might be accessed by different users. To protect the video content privacy against untrusted recipients, we need to take fine-grained control of access permissions to video content. The same video content might be accessible to certain recipients while being restricted to others. Traditional methods generate and encode multiple redacted versions of the same video, leading to substantial increases in storage, processing, and communication costs, which is difficult in adapting to the demands of the ubiquitous multimedia era. Enabling cost-effective, personalized, and fine-grained access control for video content presents a significant challenge.Video inpainting methods have gained popularity for their notable ability to remove objects with plausible pixels. In this work, we introduce the Object-grained Video Inpainting (OVI) framework for personalized access control – objects in videos are accessible only to authorized users and are visually coherently blocked for all others. OVI is efficient irrespective of user count. We implement the prototype and evaluate its performance via security study, reconstruction effectiveness, and efficiency. The experimental results show that OVI speeds up video sharing and reduces communication savings by a Θ(n) factor over the baselines when there are n different accessing groups.