Publication2016
Cut detection using block based center symmetric local binary pattern
The record
- Type
- Publication
- Date
- 19 April 2016
- Level
- National
- Journal
- Proceedings 2015 International Conference on Man and Machine Interfacing Mami 2015
- Published
- 19 April 2016
- DOI
- 10.1109/mami.2015.7456583
- Scopus ID
- 84970005316
- Authors
- 2
- Open access
- No
- Citations
- 9
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Shot boundary detection in video segmentation using block-based center symmetric local binary pattern features enables automated video annotation and efficient multimedia indexing
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Video processing research advances digital media analysis technology through texture-based feature extraction for content organization
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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KIIT Deemed to be University. “Cut detection using block based center symmetric local binary pattern”. Kortex.