Showing 1 - 20 results of 28 for search '"image retrieval"', query time: 0.08s Refine Results
  1. 1

    The Application of Similar Image Retrieval in Electronic Commerce by YuPing Hu, Hua Yin, Dezhi Han, Fei Yu

    Published 2014-01-01
    “…For solving these problems, we discuss and research the application of similar image retrieval in electronic commerce. Aiming at improving the network customers’ experience and providing merchants with the accuracy of advertising, we design a reasonable and extensive electronic commerce application system, which includes three subsystems: image search display subsystem, image search subsystem, and product information collecting subsystem. …”
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    Article
  2. 2

    Deep Binary Representation for Efficient Image Retrieval by Xuchao Lu, Li Song, Rong Xie, Xiaokang Yang, Wenjun Zhang

    Published 2017-01-01
    “…A good binary representation method for images is the determining factor of image retrieval. In this paper, we propose a new deep hashing method for efficient image retrieval. …”
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    Article
  3. 3

    A Novel Optimization-Based Approach for Content-Based Image Retrieval by Manyu Xiao, Jianghu Lu, Gongnan Xie

    Published 2013-01-01
    “…Content-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. …”
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    Article
  4. 4

    Cooperative Cloud-Edge Feature Extraction Architecture for Mobile Image Retrieval by Chao He, Gang Ma

    Published 2021-01-01
    “…Mobile image retrieval greatly facilitates our lives and works by providing various retrieval services. …”
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    Article
  5. 5

    Validation of histopathology foundation models through whole slide image retrieval by Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Joaquin J. Garcia, H. R. Tizhoosh

    Published 2025-02-01
    “…Abstract We evaluated several foundation models in histopathology for image retrieval using a zero-shot approach. These models generated embeddings that were directly employed for retrieval without additional fine-tuning. …”
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    Article
  6. 6

    Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval by Zeng Jiexian, Liu Xiupeng, Fei Yu

    Published 2014-01-01
    “…Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. …”
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    Pleasant/Unpleasant Filtering for Affective Image Retrieval Based on Cross-Correlation of EEG Features by Keranmu Xielifuguli, Akira Fujisawa, Yusuke Kusumoto, Kazuyuki Matsumoto, Kenji Kita

    Published 2014-01-01
    “…In this study, we propose a sensitivity filtering technique for discriminating preferences (pleasant/unpleasant) for images using a sensitivity image filtering system based on EEG. Using a set of images retrieved by similarity retrieval, we perform the sensitivity-based pleasant/unpleasant classification of images based on the affective features extracted from images with the maximum entropy method: MEM. …”
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    Article
  10. 10

    Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features by Fengcai Qiao, Cheng Wang, Xin Zhang, Hui Wang

    Published 2013-01-01
    “…Near-duplicate image retrieval is a classical research problem in computer vision toward many applications such as image annotation and content-based image retrieval. …”
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    Article
  11. 11

    A new clothing image retrieval algorithm based on sketch component segmentation in mobile visual sensors by Haopeng Lei, Yugen Yi, Yuhua Li, Guoliang Luo, Mingwen Wang

    Published 2018-11-01
    “…Different from traditional keyword-based and content-based image retrieval techniques, sketch-based image retrieval provides a more intuitive and natural way for users to clarify their search need. …”
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    Article
  12. 12

    Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases by Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco

    Published 2025-01-01
    “…Abstract Background This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT). …”
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    Article
  13. 13

    Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

    Published 2022-01-01
    “…In this paper, a new approach for Content-Based Image Retrieval (CBIR) has been addressed by extracting colour, gray, advanced texture, and shape features for input query images. …”
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    Article
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    Plant Leaf Disease Detection Using Integrated Color and Texture Features by Jayamala Kumar Patil and Vinay Sampatrao Mandlik

    Published 2024-12-01
    Subjects: “…plant disease detection, content-based image retrieval cbir, ycbcr histogram, lggp histogram, advanced image analysis, maize leaf rust…”
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    Article
  18. 18

    Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan by Budiman Baso, Nanik Suciati

    Published 2020-02-01
    “…In this study, the Content-Based Image Retrieval (CBIR) system is implemented in the tenun image. …”
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    Article
  19. 19

    Improvement of CRF-Based Saliency Detection Algorithm Using Matrix Decomposition Based Features by Mohammad Shouryabi, Mohammad Javad Fadaeieslam

    Published 2020-09-01
    “…Since saliency map can be applied to algorithms such as segmentation, compression and image retrieval, Researchers have focused on providing an efficient model to recognize it. …”
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  20. 20

    An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

    Published 2014-01-01
    “…We propose an optimized distance metric to improve the image retrieval time from the database. We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods. …”
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    Article