Access Restriction

Author Seidl, Markus ♦ Zeppelzauer, Matthias ♦ Mitrovi, Dalibor ♦ Breiteneder, Christian
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Shot boundary detection ♦ Cultural heritage ♦ Gradual transition detection
Abstract The segmentation of films and videos into shots requires the detection of gradual transitions such as dissolves and fades. There are two types of approaches: unified approaches, that is, one detector for all gradual transition types, and approaches that use specialized detectors for each gradual transition type. We present an overview on existing methods and extend an existing unified approach for the detection of gradual transitions in historic material. In an experimental study, we evaluate the proposed approach on complex and low-quality historic material as well as on contemporary material from the TRECVid evaluation. Additionally, we investigate different features, feature combinations, and fusion strategies. We observe that the historic material requires the use of texture features, in contrast to the contemporary material that, in most of the cases, requires the use of color and luminance features.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-12-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 4
Issue Number 3
Page Count 18
Starting Page 1
Ending Page 18

Open content in new tab

   Open content in new tab
Source: ACM Digital Library