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Block Annotation: Better Image Annotation With Sub-Image Decomposition
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Image datasets with high-quality pixel-level annotations are valuable for semantic segmentation: labelling every pixel in an image ensures that rare classes and small objects are annotated. However, full-image annotations are expensive, with experts spending up to 90 minutes per image.
Hubert Lin, Paul Upchurch, Kavita Bala
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Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation
IEEE Transactions on Cybernetics, 2021Image annotation aims to jointly predict multiple tags for an image. Although significant progress has been achieved, existing approaches usually overlook aligning specific labels and their corresponding regions due to the weak supervised information (i ...
Junbing Li +5 more
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A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation
ACM Trans. Multim. Comput. Commun. Appl., 2021To learn a well-performed image annotation model, a large number of labeled samples are usually required. Although the unlabeled samples are readily available and abundant, it is a difficult task for humans to annotate large numbers of images manually ...
Zhixin Li +5 more
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Proceedings of the 6th ACM international conference on Image and video retrieval, 2007
This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL1 benchmark. We show how homogeneous global image descriptors combined with a pool of Support Vector Machines achieve very good results.
Nicolas Hervé, Nozha Boujemaa
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This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL1 benchmark. We show how homogeneous global image descriptors combined with a pool of Support Vector Machines achieve very good results.
Nicolas Hervé, Nozha Boujemaa
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Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts
IEEE Transactions on Geoscience and Remote Sensing, 2020Multilabel remote sensing (RS) image annotation is a challenging and time-consuming task that requires a considerable amount of expert knowledge. Most existing RS image annotation methods are based on handcrafted features and require multistage processes
P. Zhu +6 more
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Objective-Guided Image Annotation
IEEE Transactions on Image Processing, 2013Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance the semantic understanding of web images. Many multimedia applications (e.g., tag-based image retrieval) can greatly benefit from image annotation.
Qi, Mao +2 more
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Automatic image annotation refinement
2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016Automatic image annotation methods automatically assign labels to images in order to facilitate tasks such as image retrieval, search, organizing and management. Incorrect labels may negatively influence the search results so image annotation should be as accurate as possible.
Pobar, Miran, Ivašić-Kos, Marina
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Computing human image annotation
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009An image annotation is the explanatory or descriptive information about the pixel data of an image that is generated by a human (or machine) observer. An image markup is the graphical symbols placed over the image to depict an annotation. In the majority of current, clinical and research imaging practice, markup is captured in proprietary formats and ...
David S, Channin +3 more
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A Survey and Analysis on Image Annotation
2020 3rd International Conference on Engineering Technology and its Applications (IICETA), 2020The rapid growth of archives of available visual content, such as photo or video sharing websites, has created a need for indexing techniques and multimedia information search, and more precisely images.
M. M. Adnan +5 more
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