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


Machine Intelligence Unit (MIU-Kolkata)


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.


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


Creative Commons License

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



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