Amruta B. Rathi

Work place: Centre For Materials for Electronics Technology, Pune, India, 411008



Research Interests: Image Processing, Image Manipulation, Image Compression, Computer systems and computational processes


Amruta B. Rathi is currently working as a Junior Research Fellow at Centre For Materials For Electronics Technology, Pune, India. She has completed her M.E.(Signal Processing) from S.P.P.U., Pune, India. She received her B.E. degree from S.P.P.U., Pune in 2011. Her domains of interest include image processing, and signal processing.

Author Articles
An Interactive Approach for Retrieval of Semantically Significant Images

By Pranoti P. Mane Amruta B. Rathi Narendra G. Bawane

DOI:, Pub. Date: 8 Mar. 2016

Content-based image retrieval is the process of recovering the images that are based on their primitive features such as texture, color, shape etc. The main challenge in this type of retrieval is the gap between low-level primitive features and high-level semantic concepts. This is known as the semantic gap. This paper proposes an interactive approach for optimizing the semantic gap. The primitive features used are HSV histogram, local binary pattern histogram, and color coherence vector histogram. The mapping between primitive features of the image and its semantic concepts is done by involving the user in the feedback loop. Proposed primitive feature extraction method shows improved image retrieval results (Average precision 73.1%) over existing methods. We have proposed an innovative relevance feedback technique in which the concept of prominent features is introduced. On the application of the relevance feedback, only prominent features which are having maximum similarity are utilized. This method reduces the feature length and increases the efficiency. Our own interactive approach for relevance feedback is not only computationally simple and fast but also shows improvement in the retrieval of semantically meaningful relevant images as we go on increasing the iterations.

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