AVPUC: Automatic Video Production with User Customization

Nowadays, multiple video cameras are employed for live broadcast and recording of almost all major social events, and all these camera streams are aggregated and rendered into one video program for audiences. While this content composition process aims at presenting the most interesting perspective of an event, it leads to the problem of how to fully customize the final video program to different audience interests without requiring too much input from the audience. The goal of this work is to solve this problem by proposing the Automatic Video Production with User Customization (AVPUC) system that separates the video stream interestingness comparison from video program production to provide space for maximized customization. Human-controlled video selection and automatic video evaluation are combined to support video content customization and reduce redundant audience inputs. Preliminary evaluation results confirm that AVPUC’s capture-evaluation-render model for video production improves audiences’ satisfaction for customized multi-perspective viewing of social events.