… This is the procedure that splits the whole news show into story segments. … of 749 manually
segmented stories from 13 CNN news broadcasts with the stories segmented from the same …

… It is, therefore, necessary to split video documents or streams into shorter segments …
automatic segmentation of TV news videos into stories. A-multiple-descriptor based segmentation …

… In this study of video story segmentation, a set of key events are first detected from
heterogeneous multimedia signal sources, including a large scale concept ontology for images, text …

… scenes to cover potentially all types of news video. Another major difference between our
approach and existing works is that we perform the story segmentation at two levels, similar to …

… In this paper, we approach the TV news story segmentation task from lexical … Segmenting
the teletext stream of a television news into stories is a direct application of text segmentation, …

… a framework for segmenting the news programs into different story topics. The proposed
method utilizes both visual and text information of the video. We represent the news video by a …

… Anchor person is one of the most important shot categories, wvrong anchor person detection
will cause failure of story segmentation, so we add a new module in our system which is a …

… story segmentation on a large news video corpus used in TRECVID 2003 evaluation. In our
approach, we divide the story segmentation … and story level that performs story segmentation …

… to detect story segments is a multisource technique that correlates various video, audio and
closedcaption cues to detect when a story segment occurs. Because each broadcast news …

… new results in news video story segmentation and classification in the context of TRECVID
video re… , prosody, and high-level text segmentation information. The statistical fusion model is …