Face Recognition Technology for TV Program Video
Facilitating the search of video scenes with a specific person
To make it easy for people to search for scenes in which a particular actor appears, we are researching a technique that automatically adds semantic information (metadata) to TV program video. Here, we are exhibiting a technique that can automatically recognize the people appearing in a TV program.
- Face recognition that adapts robustly to TV programs
- By using image features that take the rough positional relationships of facial landmarks such as the eyes and nose into consideration, we have made it possible to recognize faces with high precision even in a TV program where there are large variations in the lighting of people’s faces, their facial expressions, and the orientation of their faces.
- An efficient method suited to the processing of large quantities of video data
- By connecting a chain of decision processes and reducing the computational load by early rejecting regions that clearly do not contain faces before performing the detailed detection process, we have made it possible to process large quantities of video data such as NHK archives.
We will strive to further increase the accuracy of the speech recognition technology, and will continue with practical implementations in partnership with the relevant departments.