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Block Annotation: Better Image Annotation With Sub-Image Decomposition [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Image 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, Kavita Bala, Paul Upchurch
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Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, 2004
The performance of retrieving an image in terms of text--type of queries depends heavily on the quality of the annotated descriptive metadata that describes the content of the images. However, effective annotation of an image can often be a laborious task that requires consistent domain knowledge.
Von-Wun Soo, Yi-Ting Fu, Chen-Yu Lee
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The performance of retrieving an image in terms of text--type of queries depends heavily on the quality of the annotated descriptive metadata that describes the content of the images. However, effective annotation of an image can often be a laborious task that requires consistent domain knowledge.
Von-Wun Soo, Yi-Ting Fu, Chen-Yu Lee
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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.
Miran Pobar, Marina Ivašić-Kos
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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.
Ivor W. Tsang, Qi Mao, Shenghua Gao
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Image annotation: Then and now
Image and Vision Computing, 2018Abstract Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing digital images. Image annotation helps in effective retrieval, organization, classification, auto-illustration, etc. of the image. It started in early 1990.
Prakash Choudhary, P. K. Bhagat
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Proceedings of the 21st annual ACM symposium on User interface software and technology, 2008
Panning and zooming interfaces for exploring very large images containing billions of pixels (gigapixel images) have recently appeared on the internet. This paper addresses issues that arise when creating and rendering auditory and textual annotations for such images.
Johannes Kopf +4 more
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Panning and zooming interfaces for exploring very large images containing billions of pixels (gigapixel images) have recently appeared on the internet. This paper addresses issues that arise when creating and rendering auditory and textual annotations for such images.
Johannes Kopf +4 more
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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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Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results.
Wang, X.J., Zhang, L., Li, X., Ma, W.Y.
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2011
Image classification and automatic annotation could be treated as effective solutions to enable keyword-based semantic image retrieval. The importance of automatic image annotation has increased with the growth of the digital images collections being of great interest as it allows indexing, retrieving, and understanding of large collections of image ...
Cristian Gabriel Mihai +3 more
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Image classification and automatic annotation could be treated as effective solutions to enable keyword-based semantic image retrieval. The importance of automatic image annotation has increased with the growth of the digital images collections being of great interest as it allows indexing, retrieving, and understanding of large collections of image ...
Cristian Gabriel Mihai +3 more
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Annotating Images by Mining Image Search
2011Although it has been studied for years by computer vision and machine learning communities, image annotation is still far from practical. In this chapter, the authors propose a novel attempt of modeless image annotation, which investigates how effective a data-driven approach can be, and suggest annotating an uncaptioned image by mining its search ...
Xin-Jing Wang +3 more
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