AI TechnologyIts application in the video field has always attracted much attention. Through AI's rapid detection of highlight clips in videos, viewers can directly jump to the exciting moments, and anchors can also review their own performances.ByteDanceIn collaboration with the Institute of Automation of the Chinese Academy of Sciences, we annotated the LiveFood food video dataset for domain incremental learning and proposed a solution based on prototype learning. This method uses the solution of highlight prototype learning to perform a binary classification task at the video frame level to determine whether the video frame is a highlight or non-highlight, and achieves good highlight detection performance. Through these efforts, the prospects for the application of AI technology in the video field are broader.
By using AI to quickly detect highlights in videos, viewers can go directly to the exciting moments, and anchors can review their performances. To address the difficulties of incremental learning in the video domain, ByteDance and the Institute of Automation of the Chinese Academy of Sciences annotated the food video dataset LiveFood and proposed a solution based on prototype learning.
ByteDance and the Institute of Automation of the Chinese Academy of Sciences proposed a new method to use AI to quickly detect highlight clips in videos, and to flexibly extract the length of input videos and highlight lengths. At the same time, they annotated the food video dataset LiveFood for domain incremental learning and proposed a solution based on prototype learning. The application prospects of AI technology in the video field are even broader.
ByteDance and the Institute of Automation of the Chinese Academy of Sciences proposed a new method to use AI to quickly detect highlight clips in videos, and to achieve flexible extraction of input video length and highlight length. This method has achieved good highlight detection performance and is of great significance to the incremental learning problem in the video field, opening up a new situation for the application of AI technology in the video field.