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  1. No Access

    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...

    Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah in Computer Vision – ECCV 2022 (2022)

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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...

    Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia in Computer Vision – ECCV 2022 (2022)

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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...

    Ayan Kumar Bhunia, Partha Pratim Roy, Aneeshan Sain in Multimedia Tools and Applications (2020)

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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...

    Shuvozit Ghose, Abhirup Das, Ayan Kumar Bhunia in Multimedia Tools and Applications (2020)

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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...

    Ayan Kumar Bhunia, Avirup Bhattacharyya in Pattern Analysis and Applications (2020)

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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 ...

    Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang **e in Computer Vision – ECCV 2020 (2020)

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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...

    Partha Pratim Roy, Ayan Kumar Bhunia in Multimedia Tools and Applications (2019)

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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...

    Ayan Kumar Bhunia, Gautam Kumar, Partha Pratim Roy in Multimedia Tools and Applications (2018)