Search Results - "image annotation"

Automatic image annotation applied to habitat classification by Torres Torres, Mercedes

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Automatic Multilevel Medical Image Annotation and Retrieval by Mueen, A., Zainuddin, R., Baba, M. Sapiyan

“…Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. …”
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XMIAR: X-ray medical image annotation and retrieval by Abdulrazzaq, M. M., Alshaikhli, Imad Fakhri Taha, Mohd Noah, Shahrul Azman, Fadhil, M. A., Ashour, M. U.

“…But those visual features did not aloe the users to request images by the semantic meanings. The image annotation or classification systems can be considered as the solution for the limitations of the CBIR, and to reduce the semantic gap, this has been aimed annotating or to make the classification of the image with few controlled keywords. …”
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Semantic representation of monogenean haptoral Bar image annotation by Abu, A., Lim, L., Sidhu, Amandeep, Dhillon, S.

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Visual and semantic context modeling for scene-centric image annotation by Zand, Mohsen, Doraisamy, Shyamala, Abdul Halin, Alfian, Mustaffa, Mas Rina

“…Automatic image annotation enables efficient indexing and retrieval of the images in the large-scale image collections, where manual image labeling is an expensive and labor intensive task. …”
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The automatic re-annotation of web images for improving access for blind users by Misman, Ahmad Fatzilah

Subjects: “…Web adapted image annotation…”
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Biodiversity image retrieval framework for monogeneans by Abu, Arpah, Lim, Lee Hong, Sidhu, Amandeep, Dhillon, Sarinder

“…In this approach, an ontology-based image annotation and retrieval is developed to support the CBIR. …”
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Towards Semantic Clustering–A Brief Overview by Lim, Phei-Chin, Kulathuramaiyer, Narayanan, Dayang NurFatimah, Awg. Iskandar

“…Current progress of image clustering related to image retrieval and image annotation are summarized and some open problems are discussed. …”
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Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images by Abubacker, Nirase Fathima, Azman, Azreen, C. Doraisamy, Shyamala, Azmi Murad, Masrah Azrifah, Elmanna, Mohamed Eltahir Makki, Saravanan, Rekha

“…This paper aims at investigating an improved image mining technique to enhance the automatic and semi-automatic semantic image annotation of mammography images using multivariate filters, which is the Correlation-based Feature Selection (CFS). …”
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Object based segmentation and analysis using deep learning algorithm for cats and dogs images by N.Rajandhiran, Shreevishal

“…There are existing software such as Image Annotation Lab, ImageJ and Interactive Segmentation Tool that are used to delineate the ROI in natural images however, these software have common limitation. …”
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Stigma size as a target for wheat hybrid breeding: phenotyping germplasm diversity and mapping candidates underlying its genetic control by Knight, Christopher J.

“…A low-tech and potentially scalable method to phenotype carpel size was developed on a small panel of sterile lines, with an automated image annotation software package trained to automatically detect Pollen Capture Area (PCA) from the carpel images. …”
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The Effectiveness of ThingLink in Teaching New Vocabulary to Non-Native Beginners of the Arabic Language by Roslan, Nur Najhah Akmal, Sahrir, Muhammad Sabri

“…Thus, this study sought to investigate the effectiveness of using ThingLink, an interactive image annotation tool, as an intervention to teach Arabic vocabulary to beginners of the language at a public university in Malaysia. …”
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Semantic image understanding: from pixel to word by Fu, Hao

“…Based on these two concepts, we devise novel methods for image annotation and image retrieval tasks.…”
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Retrieval of human facial images based on visual content and semantic description / Ahmed Abdu Ali Alattab by Alattab, Ahmed Abdu Ali

“…A probabilistic approach was used to improve the differences observed based on humans’ perception and the viewpoint that may appear during image annotation and/or query process. A prototype system of human facial image retrieval was subsequently built to test the retrieval performance. …”
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Effective salience-based fusion model for image retrieval by Mansourian, Leila

“…Recently Bag of Visual Words (BoVW) has shown promising results for image annotation and retrieval tasks. In the traditional BoVW model, all visual words are collected and treated the same, regardless of whether or not they are from an important part or the background of a picture. …”
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An investigation of a human in the loop approach to object recognition by Razeghi, Orod

“…Our proposed algorithm is based on information theory and recent image annotation techniques. It determines the most efficient sequence of information to obtain from humans involved in the decision making loop, in order to minimise their unnecessary engagement in routine tasks. …”
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Fuzzy C-Means with Improved Chebyshev Distance for Multi-Labelled Data by Mousa, Aseel, Yusof, Yuhanis

“…Fuzzy C-Means (FCM) is one of the most well-known clustering algorithms, nevertheless its performance has been limited by the utilization of Euclidean as its distance metric.Even though there exist studies that applied FCM with other distance metrics such as Manhattan, Minkowski and Chebyshev, its performance can still be argued particularly on multi-label data.Various applications rely on data points that can be grouped into more than one class and this includes protein function classification and image annotation.This study proposes the employment of FCM that is implement using an improved Chebyshev distance metric.The proposed work eliminates correlation in data points and improve performance of clustering.The results show that the proposed FCM improves the performance of clustering as it produces minimum objective function value and with less iteration count. …”
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Knee osteoarthritis grading using deep learning classifier by Ng, Jevyline

“…The performance of each model is assessed through rigorous validation on a diverse dataset of knee X-ray images annotated with ground truth Kellgren Lawrence grades.…”
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Examining the impact of stratified sampling on model performance in automated image caption: a topic modelling approach by Nguyen, Anh

“…By applying topic modelling to images' annotations, this dissertation validated the positive impact of stratified sampling towards prediction results compared to the usage of a simple random split. …”
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An investigation into visual content understanding based on deep learning and natural language processing by Sun, Ke

“…Firstly we show that tag-based image annotations exhibit many limitations for visual content representation, and then develop techniques to discover visual themes as an alternative by re-organizing the original image and tag set into a group of visual themes. …”
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