Color Image Retrieval Method Using Low Dimensional Salient Visual Feature Descriptors for IoT Applications Article Swipe
Naushad Varish
,
Priyanka Singh
,
Prannoy Tugiti
,
Marella Hima Manikanta
,
Bhavana Yedlapalli
,
Abhishree Pappusetty
,
Hiren Kumar Thakkar
,
Gajendra Sharma
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1155/2023/6257573
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1155/2023/6257573
Digital data are rising fast as Internet technology advances through many sources, such as smart phones, social networking sites, IoT, and other communication channels. Therefore, successfully storing, searching, and retrieving desired images from such large‐scale databases are critical. Low‐dimensional feature descriptors play an essential role in speeding up the retrieval process in such a large‐scale dataset. A feature extraction approach based on the integration of color and texture contents has been proposed in the proposed system for the construction of a low‐dimensional feature descriptor. In which color contents are quantified from a preprocessed quantized HSV color image and texture contents are retrieved from a Sobel edge detection‐based preprocessed V‐plane of HSV color image using a block level DCT (discrete cosine transformation) and gray level co‐occurrence matrix. On a benchmark image dataset, the suggested image retrieval scheme is validated. The experimental outcomes were compared to ten cutting‐edge image retrieval algorithms, which outperformed in the vast majority of cases.
Related Topics
Concepts
Computer science
Artificial intelligence
Image retrieval
Discrete cosine transform
Computer vision
Feature extraction
Pattern recognition (psychology)
Benchmark (surveying)
Feature (linguistics)
Block (permutation group theory)
Sobel operator
Image processing
Image (mathematics)
Edge detection
Mathematics
Philosophy
Linguistics
Geodesy
Geometry
Geography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2023/6257573
- https://downloads.hindawi.com/journals/cin/2023/6257573.pdf
- OA Status
- hybrid
- Cited By
- 2
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321610248
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321610248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2023/6257573Digital Object Identifier
- Title
-
Color Image Retrieval Method Using Low Dimensional Salient Visual Feature Descriptors for IoT ApplicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Naushad Varish, Priyanka Singh, Prannoy Tugiti, Marella Hima Manikanta, Bhavana Yedlapalli, Abhishree Pappusetty, Hiren Kumar Thakkar, Gajendra SharmaList of authors in order
- Landing page
-
https://doi.org/10.1155/2023/6257573Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/cin/2023/6257573.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/cin/2023/6257573.pdfDirect OA link when available
- Concepts
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Computer science, Artificial intelligence, Image retrieval, Discrete cosine transform, Computer vision, Feature extraction, Pattern recognition (psychology), Benchmark (surveying), Feature (linguistics), Block (permutation group theory), Sobel operator, Image processing, Image (mathematics), Edge detection, Mathematics, Philosophy, Linguistics, Geodesy, Geometry, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
-
46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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