Automatic Image Annotation using 2D MHMM [PDF]
, 2015 Automated Image Annotation is an important and challenging task in the field of computer vision and CBIR(Content-Based Image Retrieval). It has extensive use in research as well as personal fields.
Chhotray, Anuvab
core
Bimodal network architectures for automatic generation of image annotation from text
, 2018 Medical image analysis practitioners have embraced big data methodologies. This has created a need for large annotated datasets. The source of big data is typically large image collections and clinical reports recorded for these images.
Guo, Yufan +4 more
core +1 more source
Tags Re-ranking Using Multi-level Features in Automatic Image Annotation [PDF]
Journal of Advances in Computer Engineering and Technology, 2019 Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among ...
Forogh Ahmadi, Vafa Maihami
doaj
Automatic Image Annotation for Small and Ad hoc Intelligent Applications using Raspberry Pi
MATEC Web of Conferences, 2019 The cutting-edge technology Machine Learning (ML) is successfully applied for Business Intelligence. Among the various pre-processing steps of ML, Automatic Image Annotation (also known as automatic image tagging or linguistic indexing) is the process in
Syed Muslim Jameel +4 more
doaj +1 more source
An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
IEEE Access, 2020 Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song +6 more
doaj +1 more source
Automatically Annotating the MIR Flickr Dataset: Experimental Protocols, Openly Available Data and Semantic Spaces [PDF]
, 2010 The availability of a large, freely redistributable set of high-quality annotated images is critical to allowing researchers in the area of automatic annotation, generic object recognition and concept detection to compare results. The recent introduction
Hare, Jonathan, Lewis, Paul
core
Efficient musculoskeletal annotation using free-form deformation
Scientific ReportsTraditionally, constructing training datasets for automatic muscle segmentation from medical images involved skilled operators, leading to high labor costs and limited scalability.
Norio Fukuda +3 more
doaj +1 more source
MIRACLE’s Naive Approach to Medical Images Annotation
, 2005 One of the proposed tasks of the ImageCLEF 2005 campaign has been an Automatic Annotation Task. The objective is to provide the classification of a given set of 1,000 previously unseen medical (radiological) images according to 57 predefined categories ...
González Cristóbal, José Carlos +3 more
core
An Automatic Image Annotation Technique Based on Coverage Ratio of Tags
International Journal of Information and Communication Technology Research, 2012 In this paper we propose an automatic image annotation technique.The proposed techniqueis based oncoverage ratio of tags byemployingboth image content and metadata.
Ali Abdolhoseini, Farzad Zargari
doaj
Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG
Canadian Journal of Remote Sensing, 2018 Image annotation is a challenging task and is widely studied in several fields such as image interpretation and retrieval. With the overwhelming volume of image data, manual annotation is no longer practical.
Khitem Amiri, Mohamed Farah
doaj +1 more source