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Knowledge-Based Image Classification
1992In a knowledge based classification, ancillary data and knowledge are combined with spectral information. A method of knowledge based classification based on temporal relationships between classes is introduced. Knowledge about crop rotations is represented by means of state transition matrices.
Middelkoop, H., Janssen, L.L.F.
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Digital Investigation, 2006
Investigations involving massive quantities of graphics files that must be reviewed and classified require more robust tools to facilitate review and categorisation of massive numbers of graphic files. Traditional forensic tools are not equipped for such large-scale categorisation tasks this paper introduces some techniques that can streamline the ...
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Investigations involving massive quantities of graphics files that must be reviewed and classified require more robust tools to facilitate review and categorisation of massive numbers of graphic files. Traditional forensic tools are not equipped for such large-scale categorisation tasks this paper introduces some techniques that can streamline the ...
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Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 2011
Automatic recognition or classification of medical image modality can provide valuable information for medical image retrieval and analysis. In this paper, we discuss an application of SVM ensemble classifiers to the problem, and explore a confidence indicator based late fusion method to resolve ambiguity across competing classes.
Xingzhi Sun +6 more
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Automatic recognition or classification of medical image modality can provide valuable information for medical image retrieval and analysis. In this paper, we discuss an application of SVM ensemble classifiers to the problem, and explore a confidence indicator based late fusion method to resolve ambiguity across competing classes.
Xingzhi Sun +6 more
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2019
Diagnosis of diseases at the right stage with optimal accuracy is a significant requirement in the medical field. Apart from diagnosis from clinical symptoms, diagnosis based on scanned images of both internal and external organs is playing a vital role in understanding the severity of the disease.
null Jesu Vedha Nayahi J. +1 more
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Diagnosis of diseases at the right stage with optimal accuracy is a significant requirement in the medical field. Apart from diagnosis from clinical symptoms, diagnosis based on scanned images of both internal and external organs is playing a vital role in understanding the severity of the disease.
null Jesu Vedha Nayahi J. +1 more
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Scientific Digest : Journal of Applied Engineering
Emotion detection plays a vital role in advancing human-computer interaction by enabling systems to recognize and respond appropriately to human emotions. This study introduces a deep learning-based multimodal emotion detection model that combines speech recognition and facial expression analysis to enhance classification accuracy.
null Patel Dineshkumar Vinubhai +2 more
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Emotion detection plays a vital role in advancing human-computer interaction by enabling systems to recognize and respond appropriately to human emotions. This study introduces a deep learning-based multimodal emotion detection model that combines speech recognition and facial expression analysis to enhance classification accuracy.
null Patel Dineshkumar Vinubhai +2 more
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Image Classification by Web Images
2002While main targets of conventional Web mining are numerical and textual data, we propose Web mining for image data. Thanks to the recent rapid spread of digital imaging devices, demand for generic image classification of various kinds of real world images becomes greater.
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Image Classification by Image Matching
2001Image classification is usually performed by making measurements on the image itself. For example, texture measurements are made to classify an image as “natural” or “urban.” This chapter describes an experiment that we carried out to determine whether an image could be classified by matching the image against databases of images, where each database ...
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Improving Image Classification
2019Multidate imagery and satellite image derivatives such as vegetation and texture indices have been reported to improve image classification. However, the increase in additional predictor variables has also resulted in high data dimensionality and redundancy.
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