Author image not provided
 Dalibor Mitrović

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article1.11
Citation Count10
Publication count9
Publication years2008-2011
Available for download1
Average downloads per article184.00
Downloads (cumulative)184
Downloads (12 Months)12
Downloads (6 Weeks)0
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author

SUBJECT AREAS
See all subject areas




BOOKMARK & SHARE


9 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 9 of 9
Sort by:

1 published by ACM
December 2011 Journal on Computing and Cultural Heritage (JOCCH): Volume 4 Issue 3, December 2011
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 12,   Downloads (Overall): 184

Full text available: PDFPDF
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 ...
Keywords: cultural heritage, gradual transition detection, Shot boundary detection

2
April 2011 IEEE MultiMedia: Volume 18 Issue 2, April 2011
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 0

This article outlines issues related to automated film analysis for archived documentaries and explores examples of the applicability of existing content-based retrieval methods.
Keywords: archived documentaries, film analysis, content-based retrieval, visual composition, motion composition, film comparison, shot boundary detection, camera-take reconstruction, multimedia

3
November 2010 6th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering on HCI in Work and Learning, Life and Leisure - Volume 6389
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Scene segmentation is a crucial task in the structural analysis of film. State-of-the-art scene segmentation algorithms usually target fiction films e.g. Hollywood films. Documentaries especially artistic archive documentaries follow different montage rules than fiction films and consequently require specialized approaches for scene segmentation. We propose a scene segmentation algorithm targeted ...
Keywords: scene boundary detection, Archive film material, documentaries

4
November 2010 USAB'10: Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Scene segmentation is a crucial task in the structural analysis of film. State-of-the-art scene segmentation algorithms usually target fiction films (e.g. Hollywood films). Documentaries (especially artistic archive documentaries) follow different montage rules than fiction films and consequently require specialized approaches for scene segmentation. We propose a scene segmentation algorithm targeted ...
Keywords: documentaries, archive film material, scene boundary detection

5
July 2010 International Journal of Multimedia Data Engineering & Management: Volume 1 Issue 3, July 2010
Publisher: IGI Global
Bibliometrics:
Citation Count: 0

In this paper, the authors present an approach for video comparison, in which an instantiated framework allows for the easy comparison of different methods that are required at each step of the comparison process. The authors' approach is evaluated based on a real world scenario of challenging video data of ...
Keywords: Content-Based Video Retrieval, Evaluation, Feature Representation, Keyframe Selection, Video Comparison, Detection Algorithms, Video Copy Detection

6
January 2010 MMM'10: Proceedings of the 16th international conference on Advances in Multimedia Modeling
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper we focus on a novel issue in the field of video retrieval stemming from film analysis, namely the investigation of film montage patterns. For this purpose it is first necessary to reconstruct the original film sequences, i.e. the camera takes. For the decision whether or not two ...

7
January 2010 MMM'10: Proceedings of the 16th international conference on Advances in Multimedia Modeling
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningful motion components in a scene, such as short- and long-term motion of single objects, groups of objects and camera motion. The method has been developed ...

8
December 2009 ISM '09: Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The contribution of this paper consists of a framework for video comparison that allows for the analysis of different movie versions. Furthermore, a second contribution is an evaluation of state-of-the-art, local feature-based approaches for content-based video retrieval in a real world scenario. Eventually, the experimental results show the outstanding performance ...
Keywords: content-based video comparison, framework, local features, SIFT, MPEG-7, differential descriptors, evaluation

9
May 2008 WIAMIS '08: Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

The paper introduces a novel interdisciplinary project addressing the analysis of historical artistic films. The type of employed material has not been subject to automatic analyses, so far. It poses challenges in all areas of content-based analysis and retrieval due to its complex temporal structure and due to substantial degradations. ...
Keywords: Shot cut detection, archive film, documentaries



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us