Publication2017
A motion and illumination resilient framework for automatic shot boundary detection
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 October 2017
- Level
- National
- Journal
- Signal Image and Video Processing
- Volume
- 11
- Issue
- 7
- Pages
- 1237-1244
- Published
- 1 October 2017
- DOI
- 10.1007/s11760-017-1080-0
- Scopus ID
- 85015625806
- ISSN
- 18631703
- Authors
- 2
- Open access
- No
- Citations
- 23
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Proposes automatic shot boundary detection algorithm using gradient orientation features robust to motion and illumination changes in video indexing.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Proposes automatic shot boundary detection algorithm using gradient orientation features robust to motion and illumination changes in video indexing.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A motion and illumination resilient framework for automatic shot boundary detection”. Kortex.