A time-stamped authoring graph for video databases

Abstract

This paper presents a "time-stamped authoring graph", which is a new video description model and retrieval method based on fragmentary descriptions of video contents (i. e., the authors' impressions or feelings) and their relationships. It can handle continuous video images better than existing description models, which tend to have problems in extracting parts of continuous video images and giving them precise descriptions. A video retrieval algorithm using a time-stamped authoring graph is explained, and the criteria for selecting or ranking the retrieved video images are discussed. The design and implementation of the prototype for video description and retrieval interfaces are also described and examined, with some examples.