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Device Status-Based Adaptive Frame Extraction and Streaming Control System to Block Obscene Videos in Mobile Devices
Jeongho Kang, Minsu Kim, Kwangsue Chung
http://doi.org/10.5626/JOK.2022.49.7.575
As the user’s access to video streaming services increases, technology for blocking obscene videos in mobile devices is attracting attention. However, the mobile device has a problem as a load is generated in the process of blocking obscene videos due to low processing power. In this paper, we propose a device status-based adaptive frame extraction and streaming control system to block obscene videos in mobile devices. The proposed system extracts frames based on the similarity comparison results between frames and changes in the obscenity of videos. In addition, similarity comparison and frame extraction are controlled according to the device status, and exposure of obscene videos is minimized through mosaic processing. Through the implementation result, it was confirmed that the proposed system improves the response performance to obscenity changes by about 40% through the adaptive frame extraction technology. In addition, it was confirmed that a load is generated in the process of blocking obscene videos by adaptively extracting frames according to the battery condition of the device.
A Streaming Control System for Real-time Blocking of Obscene Videos in Mobile Devices
Jeongho Kang, Minsu Kim, Kwangsue Chung
http://doi.org/10.5626/JOK.2021.48.8.966
As users’ accessibility to video streaming services increases, technology for real-time blocking of obscene videos in mobile devices is drawing attention. However, a load is generated for a mobile device during the blocking process due to a low processing power. In this paper, we propose a streaming control system for real-time blocking of obscene videos in mobile devices. The proposed system can extract the frame of video and analyze the obscenity of the video through an obscenity analysis engine. In addition, the load is minimized by determining the frame extraction method in consideration of obscenity change and similarity comparison results between frames, and obscene video is blocked by performing video mosaic processing. Through the implementation results, it was confirmed that the proposed system could minimize the load generated from a mobile device and user exposure to the obscene part.
QoE-aware Quality Adaptation Scheme Based on Bandwidth Utilization for VBR Video Streaming
Jeongho Kang, Minsu Kim, Kwangsue Chung
http://doi.org/10.5626/JOK.2020.47.6.612
In recent years, as the demand for video streaming has increased due to the development of the network, HTTP adaptive streaming has attracted increased attention. HTTP adaptive streaming can guarantee QoE (Quality of Experience) because it adaptively determines the quality to provide based on network conditions. However, existing quality adaptation techniques do not consider VBR (Variable Bit Rate) characteristics when streaming video, which causes problems such as interruption of playback and degradation of average quality. In this paper, we propose a QoE-aware quality adaptation method based on bandwidth utilization for VBR video streaming. The proposed scheme determines the quality to provide using the actual size of the video segment, the quality of information requested in the past, and the buffer occupancy. As a result of the experiment, we confirmed that the proposed scheme improves QoE thanks to fewer quality changes, higher average quality and without generating playback interruptions when compared with existing schemes.
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