Name-It: Naming and Detecting Faces in News Video
Abstract
We have developed Name-It, a system that associates faces and names in news videos. The system is given news videos, which include image sequences and transcripts obtained from audio tracks or closed caption texts. The system can then either infer possible name candidates for a given face, or locate a face in news videos by name. To accomplish this task, the system takes a multi-modal video analysis approach: face sequence extraction/identification from videos, name extraction from transcripts, and video caption recognition. Each method includes several advanced image and natural language processing techniques: face tracking, face identification, intelligent name extraction using dictionary, thesaurus, and parser, text region detection, image enhancement, character recognition, and the integration of these techniques. The success of our experiments demonstrates the benefits of a multi-modal approach to video analysis.
BibTeX
@article{Satoh-1996-16337,author = {S. Satoh and Toshio Sato and Michael Smith and Y. Nakamura and Takeo Kanade},
title = {Name-It: Naming and Detecting Faces in News Video},
journal = {Network-Centric Computing Special Issue},
year = {1996},
month = {January},
}