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“Performance evaluation of automatic image annotation” [PDF]
2012 IEEE International Conference on Computational Intelligence and Computing Research, 2012 Automatic image annotation is the process of assigning keywords to digital images depending on the content information. Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that gives
Hitesh Gupta +2 more
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Semantic Image Analysis for Automatic Image Annotation
2021The semantic image analysis is a process aimed to extract automatically the accurate semantic concept from image visual content. In this chapter, we shed light on a study conducted to boost the efficiency of semantic image analysis for improving automatic image annotation. We have explored, in this research study, different aspects of semantic analysis
Mustapha Oujaoura, Brahim Minaoui
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Scene-based automatic image annotation
2014 IEEE International Conference on Image Processing (ICIP), 2014Image search and retrieval systems depend heavily on availability of descriptive textual annotations with images, to match them with textual queries of users. In most cases, such systems have to rely on users to provide tags or keywords with images. Users may add insufficient or noisy tags. A system to automatically generate descriptive tags for images
Tariq, Amara, Foroosh, Hassan
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Semi-automatic image annotation of street scenes
2017 IEEE Intelligent Vehicles Symposium (IV), 2017Scene labeling enables very sophisticated and powerful applications for autonomous driving. Training classifiers for this task would not be possible without the existence of large datasets of pixelwise labeled images. Manually annotating a large number of images is an expensive and time consuming process.
Petrovai, Andra +2 more
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Semi-automatic Image Annotation
2013High quality ground truth data is essential for the development of image recognition systems. General purpose datasets are widely used in research, but they are not suitable as training sets for specialized real-world recognition tasks. The manual annotation of custom ground truth data sets is expensive, but machine learning techniques can be applied ...
Gunther Heidemann, Julia Moehrmann
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A hybrid automatic image annotation approach
Multimedia Tools and Applications, 2018Automated image annotation (AIA) is an important issue in computer vision and pattern recognition, and plays an extremely important role in retrieving large-scale images. In many image annotation approaches, different regions of the image are processed equally, which is inconsistent with the mechanism by which humans understand images.
Qing-Mei Sun, Cong Jin, Shu-Wei Jin
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Automatic image annotation with continuous PLSA
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly extend probabilistic latent semantic analysis (PLSA) to model continuous quantity. In addition, corresponding Expectation-Maximization (EM) algorithm is derived to determine the model parameters.
Xi Liu +3 more
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Automatic and Semi-Automatic Techniques for Image Annotation
2011When retrieving images, users may find it easier to express the desired semantic content with keywords than visual features. Accurate keyword retrieval can only occur when images are completely and accurately described. This can be achieved either through laborious manual effort or automated approaches.
Biren Shah +3 more
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A survey and analysis on automatic image annotation
Pattern Recognition, 2018Abstract In recent years, image annotation has attracted extensive attention due to the explosive growth of image data. With the capability of describing images at the semantic level, image annotation has many applications not only in image analysis and understanding but also in some relative disciplines, such as urban management and biomedical ...
Conghuan Tu +4 more
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Automatic Image Annotation by Mining the Web [PDF]
, 2006 Automatic image annotation has been becoming an attractive research subject. Most current image annotation methods are based on training techniques. The major weaknesses of such solutions include limited annotation vocabulary and labor-intensive involvement.
Qian Liu, Jingbai Zhang, Zhiguo Gong
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