Title :
The study of documentary segmentation through audio and text understanding
Author :
Dong, Aijuan ; Wang, Baoying
Author_Institution :
Dept. of Comput. Sci., Hood Coll., Frederick, MD
Abstract :
Video segmentation is the first and critical step in video indexing and retrieval. Previous work in this area has primarily focused on visual and audio information. In this paper, we investigate the segmentation of documentary video data through audio and text understanding. To segment a continuous documentary video stream into subtopic segments, music markers and domain-independent video speech text segmentation are explored. Experiments are presented and discussed.
Keywords :
video retrieval; video streaming; audio understanding; documentary segmentation; domain-independent video speech text segmentation; music markers; text understanding; video indexing; video retrieval; video segmentation; video stream; Bandwidth; Computer science; Educational institutions; Indexing; Mel frequency cepstral coefficient; Multimedia communication; Music information retrieval; Speech; Streaming media; Vocabulary;
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
DOI :
10.1109/ICALIP.2008.4590149