Results 11 to 20 of about 105,087 (335)

Automatic Annotation of Change Detection Images [PDF]

Sensors, 2021
Earth observation satellites have been capturing a variety of data about our planet for several decades, making many environmental applications possible such as change detection. Recently, deep learning methods have been proposed for urban change detection.
Neptune, Nathalie, Mothe, Josiane
openaire   +4 more sources

Semi-automatic annotation of brain vessels in magnetic resonance angiography images. [PDF]

Sci Data
Bernadotte A, Elfimov N, Menshikov I.
europepmc   +2 more sources

An Improved Automatic Image Annotation Approach Using Convolutional Neural Network-Slantlet Transform

IEEE Access, 2022
Every day, websites and personal archives generate an increasing number of photographs. The extent of these archives is unfathomable. The ease of usage of these enormous digital image collections contributes to their popularity. However, not all of these
Myasar Mundher Adnan, Mohd Shafry Mohd Rahim, Amjad Rehman Khan, Tanzila Saba, Suliman Mohamed Fati, Saeed Ali Bahaj   +5 more
doaj   +1 more source

Deep Convolutional Neural Network with KNN Regression for Automatic Image Annotation

Applied Sciences, 2021
Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for handcrafted features and manual approaches of linking concepts to ...
Ramla Bensaci, Belal Khaldi, Oussama Aiadi, Ayoub Benchabana   +3 more
doaj   +1 more source

Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection

Sensors, 2020
Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau   +4 more
doaj   +1 more source

Fuzzy Neighbor Voting for Automatic Image Annotation [PDF]

Journal of Electrical and Computer Engineering Innovations, 2016
With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image ...
V. Maihami, F. Yaghmaee
doaj   +1 more source

ENCAPSULATION OF IMAGE METADATA FOR EASE OF RETRIEVAL AND MOBILITY [PDF]

Applied Computer Science, 2019
Increasing proliferation of images due to multimedia capabilities of hand-held devices has resulted in loss of source information resulting from inherent mobility.
Nancy WOODS, Charles ROBERT
doaj   +1 more source

Hybrid image representation methods for automatic image annotation: a survey [PDF]

, 2012
In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal, Benblidia, Nadjia, Bouyerbou, Hafidha, Oukid, Saliha   +3 more
core   +1 more source

Automatic Multilevel Medical Image Annotation and Retrieval [PDF]

Journal of Digital Imaging, 2007
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. To address first issue, multilevel features are extracted to construct
Mueen, A., Zainuddin, R., Baba, M.S.
openaire   +3 more sources

Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods

IEEE Access, 2021
Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li, Wei Li, Hongda Zhang, Xin He, Mingxiao Zheng, Haiyu Song   +5 more
doaj   +1 more source