News Video Indexing System Using Inserted-Caption Detection and its Retrieval

Data compression coupled with the availability of high bandwidth networks and storage capacity have created the overwhelming production of multimedia content, this paper briefly describes techniques for content-based analysis, retrieval and filtering of News Videos and focuses on basic methods for extracting features and information that will enable indexing and search of any news video based on its content and semantics. The major themes covered by the study include shot segmentation, key frame extraction, feature extraction, and relevance feedback. A new caption text extraction algorithm that takes full advantage of the temporal information in a video sequence is developed.