"Outlier Detection and Motion Estimation Approach for Shot Boundary Det" by Saurabh Shigwan

Outlier Detection and Motion Estimation Approach for Shot Boundary Detection.

Date of Submission

December 2014

Date of Award

Winter 12-12-2015

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science

Department

Machine Intelligence Unit (MIU-Kolkata)

Supervisor

Ghosh, Ashish (MIU-Kolkata; ISI)

Abstract (Summary of the Work)

Shot Boundary Detection problem is most fundamental problem in content-based video retrieval system. The main idea of this work is to consider shot boundaries as outliers of a given feature space. Here we have considered shot boundaries as outlier, because within-shot boundaries are very large in number compared to shot boundaries. This is a novel concept, which helps to remove the complexity of gathering training set for supervised classification. To tackle next problem of getting some within-shot boundaries as outlier, we have used multi-resolution based motion estimation algorithm to check, whether outlier boundary is part of high motion of camera or object. So, this post-processing step of removal of false-positive points improves the final result of shot boundary detection.

Comments

ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843152

Control Number

ISI-DISS-2014-277

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

http://dspace.isical.ac.in:8080/jspui/handle/10263/6433

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