Results 41 to 50 of about 70,451 (127)
A Novel Semantic Statistical Model for Automatic Image Annotation Using the Relationship between the Regions Based on Multi-Criteria Decision Making [PDF]
, 2014 Automatic image annotation has emerged as an important research topic due to the existence of the semantic gap and in addition to its potential application on image retrieval and management.
Deljooi, Hengame, Eskandari, Ahmad Reza
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Feature Selection for Automatic Image Annotation [PDF]
, 2006 Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we present a novel image annotation scheme which is fast and effective and scales well to a large number of keywords.
Setia, Lokesh, Burkhardt, Hans
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IEEE Access, 2019 Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because traditional manual image annotation
Junyi Zhang +3 more
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A Survey on Automatic Image Annotation and Retrieval [PDF]
International Journal of Computer Applications, 2015 The Image Annotation process are required to use automated where the strong tagging is required to keep annotate image for making it efficient to provide better results while querying those image annotated database. The process of image annotation should be proceeding while creating the file and to make it strongly labelled.
Adnan Siddiqui +2 more
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Learning based automatic face annotation for arbitrary poses and expressions from frontal images only [PDF]
, 2009 Statistical approaches for building non-rigid deformable models, such as the active appearance model (AAM), have enjoyed great popularity in recent years, but typically require tedious manual annotation of training images. In this paper, a learning based
, +4 more
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Empirical study of multi-label classification methods for image annotation and retrieval
, 2010 This paper presents an empirical study of multi-label classification methods, and gives suggestions for multi-label classification that are effective for automatic image annotation applications.
Kouzani, Abbas Z., Nasierding, Gulisong
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A Hybrid Model for Automatic Image Annotation
Proceedings of International Conference on Multimedia Retrieval, 2014 In this work, we present a hybrid model (SVM-DMBRM) combining a generative and a discriminative model for the image annotation task. A support vector machine (SVM) is used as the discriminative model and a Discrete Multiple Bernoulli Relevance Model (DMBRM) is used as the generative model.
Ethem F. Can +2 more
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Relating visual and semantic image descriptors [PDF]
, 2004 This paper addresses the automatic analysis of visual content and extraction of metadata beyond pure visual descriptors. Two approaches are described: Automatic Image Annotation (AIA) and Confidence Clustering (CC). AIA attempts to automatically classify
Cooke, Eddie +4 more
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Data Completion Methods for Improved Developmental Stage Annotation of Drosophila Embryos in Images [PDF]
, 2014 Drosophila melanogaster is a dominant model organism for studying the function of animal genes in initial stages of embryogenesis. Usually, images containing Drosophila gene expression patterns are captured at different developmental stages to study the ...
Janyalikit, Chitsanu
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Image retrieval based on weighted nearest neighbor tag prediction
Journal of Intelligent Systems, 2022 With the development of communication and computer technology, the application of big data technology has become increasingly widespread. Reasonable, effective, and fast retrieval methods for querying information from massive data have become an ...
Yao Qi, Jiang Dayang, Ding Xiancheng
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