Title :
A Multi-Stage Approach for News Video Segmentation Based on Automatic Anchorperson Number Detection
Author :
D´Anna, Leandro ; Percannella, Gennaro ; Sansone, Filip ; Vento, Mario
Author_Institution :
Univ. di Salerno, Salerno
Abstract :
In this paper we present an algorithm for anchor shot detection that is a fundamental step for segmenting news video into stories. This is among key issues for achieving efficient treatment of news-based digital libraries. The proposed algorithm creates a set of audio/video templates of anchorperson shots in an unsupervised way, then classifies shots by comparing them to all the templates when there is one anchor and to a single best template when there are two anchors. In this paper we also propose an automatic selector, based only on the audio track, that is able to classify a news video as presented by one or two anchorpersons. The method has been tested on a wide database demonstrating its effectiveness.
Keywords :
image segmentation; object detection; video signal processing; audio-video templates; automatic anchorperson number detection; automatic selector; multistage approach; news-based digital libraries; video segmentation; Databases; Gunshot detection systems; Joining processes; Mobile computing; Software libraries; Switches; Testing; Ubiquitous computing; Variable speed drives; Videoconference;
Conference_Titel :
Mobile Ubiquitous Computing, Systems, Services and Technologies, 2007. UBICOMM '07. International Conference on
Conference_Location :
Papeete
Print_ISBN :
978-0-7695-2993-6
DOI :
10.1109/UBICOMM.2007.35
