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Chapter and Conference Paper
Adaptive Fine-Grained Sketch-Based Image Retrieval
The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) has shifted towards generalising a model to new categories without any training data from them. In real-world applications, however, a t...
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Chapter and Conference Paper
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey scene content well but can be sketched with...
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Article
Zone-based keyword spotting in Bangla and Devanagari documents
In this paper, we present a word spotting system in text lines for offline Indic scripts such as Bangla (Bengali) and Devanagari. Recently, it was shown that the zone-wise recognition method improves word reco...
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Article
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm
In this paper, a new texture descriptor named “Fractional Local Neighborhood Intensity Pattern” (FLNIP) has been proposed for content-based image retrieval (CBIR). It is an extension of an earlier work involvi...
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Article
A novel feature descriptor for image retrieval by combining modified color histogram and diagonally symmetric co-occurrence texture pattern
In this paper, we have proposed a novel feature descriptors combining color and texture information collectively. In our proposed color descriptor component, the inter-channel relationship between Hue (H) and Sat...
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Chapter and Conference Paper
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than traditional classification tasks due to the inherently subtle intra-class object variations. Recent works are mainly part-driven (either ...
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Article
Word searching in scene image and video frame in multi-script scenario using dynamic shape coding
Retrieval of text information from natural scene images and video frames is a challenging task due to its inherent problems like complex character shapes, low resolution, background noise, etc. Available OCR s...
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Article
Text recognition in scene image and video frame using Color Channel selection
In recent years, recognition of text from natural scene image and video frame has got increased attention among the researchers due to its various complexities and challenges. Because of low resolution, blurri...