On the influence of low-level visual features in film classification Article Swipe
Federico Álvarez
,
Faustino Sánchez
,
Gustavo Hernández-Peñaloza
,
David Jiménez
,
José Manuel Menéndez
,
Guillermo Cisneros
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0211406
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0211406
The results are compared against high-level information to determine the accuracy of the model to classify films without knowing such information previously. The main difference with other film characterization approaches is that we are able to isolate the influence of high-level descriptors to really understand the relevance of low-level features and, accordingly propose a useful set of low-level visual descriptors for that purpose. This model has been tested with a representative number of films to prove that it can be used for different applications.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0211406
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0211406&type=printable
- OA Status
- gold
- Cited By
- 22
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2917266953
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- OpenAlex ID
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https://openalex.org/W2917266953Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0211406Digital Object Identifier
- Title
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On the influence of low-level visual features in film classificationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-02-22Full publication date if available
- Authors
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Federico Álvarez, Faustino Sánchez, Gustavo Hernández-Peñaloza, David Jiménez, José Manuel Menéndez, Guillermo CisnerosList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0211406Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0211406&type=printableDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0211406&type=printableDirect OA link when available
- Concepts
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Artificial intelligence, Computer science, Pattern recognition (psychology)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
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2025: 1, 2024: 5, 2023: 3, 2022: 2, 2021: 4Per-year citation counts (last 5 years)
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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