文件名称:image-retrieval
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- 上传时间：2016-07-31
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最新的几篇图像检索方面的论文。在检索原理上，无论是基于文本的图像检索还是基于内容的图像检索，主要包括三方面：一方面对用户需求的分析和转化，形成可以检索索引数据库的提问；另一方面，收集和加工图像资源，提取特征，分析并进行标引，建立图像的索引数据库；最后一方面是根据相似度算法，计算用户提问与索引数据库中记录的相似度大小，提取出满足阈值的记录作为结果，按照相似度降序的方式输出。-The latest image retri several papers. On a retri principle, whether it is text-based image retri and content-based image retri , mainly includes three aspects: one user needs analysis and transformation, the formation can be retrieved index question on the other hand, the collection and processing of images resources, extracting features, analysis and indexing, create an image of the index and finally the one hand, according to the similarity algorithm to calculate the size of the user question and the similarity index records in the , extract the records that meet the threshold as a result, according to similarity degree descending output.
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下载文件列表
2014_Fusion-framework-for-effective-color-image-retrieval_Walia.pdf
2015_A-new-SVM-based-active-feedback-scheme-for-image-retrieval_Wang.pdf
2015_Content-based-image-retrieval-system-using-clustered-scale-invariant-feature-transforms_Montazer.pdf
2015_Image-classification-and-retrieval-using-optimized-Pulse-Coupled-Neural-Network_Mohammed.pdf
2015_Learning-salient-visual-word-for-scalable-mobile-image-retrieval_Yang.pdf
2016_A-new-SVM-based-relevance-feedback-image-retrieval-using-probabilistic-feature-and-weighted-kernel-function_Wang.pdf
2016_A-novel-image-retrieval-method-based-on-multi-trend-structure-descriptor_Zhao.pdf
2016_A-practical-guide-to-CNNs-and-Fisher-Vectors-for-image-instance-retrieval_Chandrasekhar.pdf
2016_A-review-of-remote-sensing-image-fusion-methods_Ghassemian.pdf
2016_Robust-histogram-based-image-retrieval_IV.pdf
2016_Scalable-attribute-driven-face-image-retrieval_An.pdf
2016_Statistical-modeling-for-automatic-image-indexing-and-retrieval_Zhang.pdf
2016_Study-on-Image-Retrieval-based-on-Image-Texture-and-Color-Statistical-Projection_Zheng.pdf
2016_Topic-modeling-and-improvement-of-image-representation-for-large-scale-image-retrieval_Tu.pdf
2015_A-new-SVM-based-active-feedback-scheme-for-image-retrieval_Wang.pdf
2015_Content-based-image-retrieval-system-using-clustered-scale-invariant-feature-transforms_Montazer.pdf
2015_Image-classification-and-retrieval-using-optimized-Pulse-Coupled-Neural-Network_Mohammed.pdf
2015_Learning-salient-visual-word-for-scalable-mobile-image-retrieval_Yang.pdf
2016_A-new-SVM-based-relevance-feedback-image-retrieval-using-probabilistic-feature-and-weighted-kernel-function_Wang.pdf
2016_A-novel-image-retrieval-method-based-on-multi-trend-structure-descriptor_Zhao.pdf
2016_A-practical-guide-to-CNNs-and-Fisher-Vectors-for-image-instance-retrieval_Chandrasekhar.pdf
2016_A-review-of-remote-sensing-image-fusion-methods_Ghassemian.pdf
2016_Robust-histogram-based-image-retrieval_IV.pdf
2016_Scalable-attribute-driven-face-image-retrieval_An.pdf
2016_Statistical-modeling-for-automatic-image-indexing-and-retrieval_Zhang.pdf
2016_Study-on-Image-Retrieval-based-on-Image-Texture-and-Color-Statistical-Projection_Zheng.pdf
2016_Topic-modeling-and-improvement-of-image-representation-for-large-scale-image-retrieval_Tu.pdf
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