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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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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 0001 +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.
Miran Pobar, Marina Ivasic-Kos
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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.
Xin-Jing Wang +3 more
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A survey on automatic image annotation
Applied Intelligence, 2020Automatic image annotation is a crucial area in computer vision, which plays a significant role in image retrieval, image description, and so on. Along with the internet technique developing, there are numerous images posted on the web, resulting in the fact that it is a challenge to annotate images only by humans.
Yilu Chen +3 more
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From Image Annotation to Image Description
2012In this paper, we address the problem of automatically generating a description of an image from its annotation. Previous approaches either use computer vision techniques to first determine the labels or exploit available descriptions of the training images to either transfer or compose a new description for the test image. However, none of them report
Ankush Gupta, Prashanth Mannem
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Semantic Annotation of Images.
2008Annotation gives more meaning to the content, explanation or annotation is sometims a necessity for multimedia content but during data transaction annotations can be lost if it is not combined with the data. For different people from different cultures, different languages and different ideas sometimes describing the same thing would be completely ...
Fatemi, Muhammad Reza +2 more
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A comparative image auto-annotation
IEEE International Symposium on Signal Processing and Information Technology, 2013The image annotation is an effective technology for improving the Web image retrieval. Many works have been proposed to increase the image auto-annotation performance. The annotation quality depends on many factors: segmentation, choice of visual features...etc..
Mahdia Bakalem +2 more
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2006 International Conference on Image Processing, 2006
We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords.
Hichem Frigui, Joshua Caudill
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We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords.
Hichem Frigui, Joshua Caudill
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2013
Image retrieval most commonly uses text-based search, which requires the availability of image annotations. As digital photos are growing rapidly in number, making manual image annotation impractical, the need for automatic image annotation is evident.
Randi Karlsen, Anders Andersen
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Image retrieval most commonly uses text-based search, which requires the availability of image annotations. As digital photos are growing rapidly in number, making manual image annotation impractical, the need for automatic image annotation is evident.
Randi Karlsen, Anders Andersen
openaire +2 more sources