Suchergebnisse - Computing methodologies → Visual content‐based indexing and retrieval

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

“… Infographics are an aesthetic visual representation of information following specific design principles of human perception …”
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MIRACLE: Multimodal Information Retrieval via a Combined In-Memory Processing and Content Addressable Memory Approach von Liu, Xuehui, Wang, Xueyan, Yu, Tianyang, Cheng, Chen, Ran, Shuo, Wu, Bi, Jia, Xiaotao, Liu, Weiqiang, Qu, Gang, Zhao, Weisheng

“… The rapid advancement of information technology has brought multimodal information retrieval into the research spotlight …”
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On-Device Unsupervised Image Segmentation von Yang, Junhuan, Sheng, Yi, Zhang, Yuzhou, Jiang, Weiwen, Yang, Lei

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

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

“… 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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A ten-year literature review of content-based image retrieval (CBIR) studies in the tourism industry von Ammatmanee, Chanattra, Gan, Lu

“… use and/or manage these image data across tourism settings. To overcome the image indexing task with less labour cost and improve the image retrieval task with less human errors, the content-based image retrieval (CBIR …”
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Classification of Alzheimer’s disease subjects from MRI using hippocampal visual features von Ben Ahmed, Olfa, Benois-Pineau, Jenny, Allard, Michèle, Ben Amar, Chokri, Catheline, Gwénaëlle

“… Indexing and classification tools for Content Based Visual Information Retrieval (CBVIR …”
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Semantic text-based image retrieval with multi-modality ontology and DBpedia von M.K, Yanti Idaya Aspura, Mohd Noah, Shahrul Azman

“… to improve the comprehensiveness of the ontology to enhance semantic retrieval. Design/methodology/approach A multi-modality ontology-based approach was developed …”
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Interpreting and semantically describing Chinese traditional brocade: Xilankapu von Cheng, Xiufeng, Yang, Jinqing, Jiang, Ling, Hu, Anlei

“… Design/methodology/approach First, the authors interpret the artwork of Xilankapu through Gillian Rose’s “four site …”
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The DREAM Framework: Using a Network of Scalable Ontologies for Intelligent Indexing and Retrieval of Visual Content von Badii, Atta, Lallah, Chattun, Zhu, Meng, Crouch, Michael

“… There are still major challenges in the area of automatic indexing and retrieval of digital data …”
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Image Retrieval: Modelling Keywords via Low-level Features von Theodosiou, Zenonas

“… Image retrieval methods are mainly falling into content-based and text-based frameworks.Although content-based image retrieval has attracted large amount of research …”
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Scenery image retrieval by meta-feature representation von Tsai, Chih-Fong, Lin, Wei-Chao

“… Purpose - Content-based image retrieval suffers from the semantic gap problem: that images are represented by low-level visual features, which are difficult to directly match to high-level concepts in the user's mind during retrieval …”
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CoPhIR Image Collection under the Microscope von Batko, Michal, Kohoutkova, Petra, Novak, David

“… The Content-based Photo Image Retrieval (CoPhIR) dataset is the largest available database of digital images with corresponding visual descriptors …”
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Image retrieval from the web using multiple features von Vadivel, A., Sural, Shamik, Majumdar, A.K.

“… Purpose - The main obstacle in realising semantic-based image retrieval from the web is that it is difficult to capture semantic description of an image in low-level features …”
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Multimedia Indexing with the SMART system von MARESCA, P., GUERCIO, A., ARNDT, T., TORTORA, G.

“… It is necessary to provide an efficient methodology for the indexing of multimedia data for rapid retrieval …”
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Personal photo browsing and retrieval by clustering techniques: Effectiveness and efficiency evaluation von Lin, Chun‐Nan, Tsai, Chih‐Fong, Roan, Jinsheng

“… Design/methodology/approach - In their system the authors apply the concept of content-based image retrieval (CBIR …”
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Robust Hierarchical Indexing based on Texture Features von ALBANESI, MARIA GRAZIA, FERRETTI, MARCO, GIANCANE, ALESSANDRO

“… In this paper, we present a hierarchical indexing method based on texture characterization for image retrieval …”
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Content-based Access in Image Database by Quantitative Relationships von CIBELLI, MAURIZIO, NAPPI, MICHELE, TUCCI, MAURIZIO

“… In this paper, we describe a novel technique to perform content-based access in image databases using quantitative spatial relationships …”
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