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Automatic image annotation using SURF descriptors
2012 Annual IEEE India Conference (INDICON), 2012In recent years there is an apparent shift in research from content based image retrieval (CBIR) to automatic image annotation in order to bridge the gap between low level features and high level semantics of images. Automatic Image Annotation (AIA) techniques facilitate extraction of high level semantic concepts from images by machine learning ...
Sreeraj, M +2 more
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Neural ranking for automatic image annotation
Multimedia Tools and Applications, 2018Automatic image annotation aims to predict labels for images according to their semantic contents and has become a research focus in computer vision, as it helps people to edit, retrieve and understand large image collections. In the last decades, researchers have proposed many approaches to solve this task and achieved remarkable performance on ...
Weifeng Zhang, Hua Hu, Haiyang Hu
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Visual Phrases for automatic images annotation
2010 International Workshop on Content Based Multimedia Indexing (CBMI), 2010Visual characteristics of objects of a class vary with the considered instance and the shooting conditions. In this paper we proposed a visual characterization of object parts, called "Visual Phrase", robust to these variations. A Visual Phrase is a set of regions of interest built according to predefined criteria; a topological criterion was studied ...
Rami Albatal +2 more
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Automatic Image Annotation and Retrieval Using Group Sparsity
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have focused upon model representations of keywords, whereas properties of features have not been well investigated.
Shaoting, Zhang +3 more
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Automatic Semantic Annotation of Real-World Web Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008As the number of web images is increasing at a rapid rate, searching them semantically presents a significant challenge. Many raw images are constantly uploaded with little meaningful direct annotations of semantic content, limiting their search and discovery.
R C F, Wong, C H C, Leung
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Image copyright protection using automatic image annotation
The Proceedings of Conference of Kanto Branch, 2021DAO THAI DUONG, Kou YAMADA
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LDA-Based Automatic Image Annotation Model
Advanced Materials Research, 2010This paper presents LDA-based automatic image annotation by visual topic learning and related annotation extending. We introduce the Latent Dirichlet Allocation (LDA) model in visual application domain. Firstly, the visual topic which is most relevant to the unlabeled image is obtained.
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Linear regression for Automatic Image Annotation
2014 9th International Conference on Computer Science & Education, 2014Automatic image annotation is an effective technology to enhance the performance of image retrieval. In order to annotate image accurately, we introduce a novel annotation method based on regression models. Firstly, with different independent views, both the visual and the textual modalities are efficiently represented in a continuous vector space form,
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