Výsledky vyhľadávania - "Visual content-based indexing and retrieval"

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  1. 1

    Infographics Wizard: Flexible Infographics Authoring and Design Exploration Autor Tyagi, Anjul, Zhao, Jian, Patel, Pushkar, Khurana, Swasti, Mueller, Klaus

    ISSN: 0167-7055, 1467-8659
    Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.06.2022
    Vydané v Computer graphics forum (01.06.2022)
    “…Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a…”
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    Journal Article
  2. 2

    MIRACLE: Multimodal Information Retrieval via a Combined In-Memory Processing and Content Addressable Memory Approach Autor Liu, Xuehui, Wang, Xueyan, Yu, Tianyang, Cheng, Chen, Ran, Shuo, Wu, Bi, Jia, Xiaotao, Liu, Weiqiang, Qu, Gang, Zhao, Weisheng

    Vydavateľské údaje: IEEE 22.06.2025
    “…The rapid advancement of information technology has brought multimodal information retrieval into the research spotlight. Neural networks, particularly…”
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  3. 3

    On-Device Unsupervised Image Segmentation Autor Yang, Junhuan, Sheng, Yi, Zhang, Yuzhou, Jiang, Weiwen, Yang, Lei

    Vydavateľské údaje: IEEE 09.07.2023
    “…Along with the breakthrough of convolutional neural networks, in particular encoder-decoder and U-Net, learning-based segmentation has emerged in many research…”
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  4. 4

    PETRI: Reducing Bandwidth Requirement in Smart Surveillance by Edge-Cloud Collaborative Adaptive Frame Clustering and Pipelined Bidirectional Tracking Autor Liu, Ruoyang, Zhang, Lu, Wang, Jingyu, Yang, Huazhong, Liu, Yongpan

    Vydavateľské údaje: IEEE 05.12.2021
    “…Neural networks running on cloud servers have been widely used in smart surveillance, but they require high bandwidth to upload videos. Edge-cloud…”
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  5. 5

    PixelSieve: Towards Efficient Activity Analysis From Compressed Video Streams Autor Wang, Yongchen, Wang, Ying, Li, Huawei, Li, Xiaowei

    Vydavateľské údaje: IEEE 05.12.2021
    “…Pixel-level data redundancy in video induces additional memory and computing overhead when neural networks are employed to mine spatiotemporal patterns, e.g…”
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