Constraint and Descriptor Based Image Retrieval through Sketches with Data Retrieval using Reversible Data Hiding

Authors

  • Dipika Birari 1 Research Scholar, Faculty of Computer Engineering, Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India https://orcid.org/0000-0001-5767-6157
  • Dilendra Hiran Pacific Institute of Computer Applications, Udaipur, Rajasthan, India
  • Vaibhav Narawade Department of Computer Engineering Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, Maharashtra, India

Keywords:

Image retrieval, Descriptor, Data retrieval, Edge extraction, Sketch-based, Grayscale, Invariance, feature extraction.

Abstract

An image retrieval system includes image retrieval through sketches. Sketches act as an outline for any object with few details. "Sketch-Based Image Retrieval (SBIR)" is universally recognized as an extension of image retrieval by such rough sketching that concentrates on the main features of the object.  SBIR has become an effective and popular image mining search technique as the demand for multimedia technology has grown. Due to the less precise depiction in sketches, comparing such sketches to real colorful and meaningful images becomes extremely difficult. As a solution to the captioned matter, the proposed approach incorporates Histogram Line Relationship (HLR) descriptors to facilitate constraint-based image retrieval. After pre-processing, the descriptor describes the visual features of an image. Here edge length-based constraints make SBIR powerful enough to select strong shaping edges. This approach is further enhanced to include data retrieval and is referred to as "Sketch-Based Image and Data Retrieval (SBIDR)" which even makes it more functional. Throughout image processing, the data embedding and extraction procedure are carried out using the Reversible Data Hiding (RDH) technique with an invariant grayscale version. The proposed method employs a hybrid model of image retrieval and data retrieval system with the addition of constraints and grayscale invariance. This models produce efficient outcomes in terms of retrieval.

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Image and Data Retrieval through Sketches

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Published

19.10.2022

How to Cite

Birari, D. ., Hiran, D. ., & Narawade, V. . (2022). Constraint and Descriptor Based Image Retrieval through Sketches with Data Retrieval using Reversible Data Hiding. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 409–417. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2308

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Research Article