Optimizing quality of experience for adaptive bitrate streaming via viewer interest inference

• Main Authors: Gao, Guanyu, Zhang, Huaizheng, Hu, Han, Wen, Yonggang, Cai, Jianfei, Luo, Chong, Zeng, Wenjun
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Adaptive Video Streaming; Rate Adaptation
• Online Access: https://hdl.handle.net/10356/152984
• Institution: Nanyang Technological University

Rate adaptation is widely adopted in video streaming to improve the quality of experience (QoE). However, most of the existing rate adaptation approaches neglect the underlying video semantic information. In fact, influenced by video semantics and viewer preferences, the viewer may have different de...