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Process which assigns captioning to a digital image
Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns
Automatic_image_annotation
Information retrieval involving digital images
address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the
Image_retrieval
Item of metadata attached to a document
introduces reflection annotations similar to Java annotations. Automatic image annotation is used to classify images for image retrieval systems. Since
Annotation
Content-based image retrieval
and Home Duplicate-Search-Based Image Annotation Using Web-Scale Data Microsoft. The Puzzle library ProvenanceLabs / image-match Chi Wong, H.; Bern, M.;
Reverse_image_search
Free and open source, web-based image and video annotation tool
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms
Computer Vision Annotation Tool
Computer_Vision_Annotation_Tool
Volume rendering technique
methods, it can convert multiple images into a representation of 3D space, then use the representation to create images as seen from new angles. Multiple
Gaussian_splatting
Computerized information extraction from images
concerned with the automatic extraction, analysis, and understanding of useful information from a single image or a sequence of images. It involves the
Computer_vision
Extraction of information from images via digital image processing techniques
Digital Image Analysis or Computer Image Analysis is when a computer or electrical device automatically studies an image to obtain useful information from
Image_analysis
Vehicle operated with reduced or no human input on public roads
(Light Detection and Ranging), and visual sensors (cameras) which capture images and video like human eyes. These are combined with systems such as Global
Self-driving_car
Algorithmic processing of digitally-represented images
objects within images, especially in complex scenarios with multiple objects and occlusions, poses a significant challenge. Data annotation and labelling:
Digital_image_processing
Software for organising digital images
edu/trs/2004-15/2004-15.pdf Archived 2017-08-10 at the Wayback Machine Semi-Automatic Image Annotation Using Event and Torso Identification http://www.ercim
Image_organizer
Optical character recognition technology
Automatic number-plate recognition (ANPR; see also other names below) is a technology that uses optical character recognition on images to read vehicle
Automatic number-plate recognition
Automatic_number-plate_recognition
Computer technology related to computer vision and image processing
computer vision, including image retrieval and video surveillance. It is widely used in computer vision tasks such as image annotation, vehicle counting, activity
Object_detection
Technology capable of matching a face from an image against a database of faces
passenger screening, decisions on employment and housing, and automatic indexing of images. Facial recognition systems are employed throughout the world
Facial_recognition_system
Computer recognition of visual text
optical character reader is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether
Optical_character_recognition
Format for expressing RDF statements in HTML documents
Desktop RDFa editors AutôMeta is an environment for semi-automatic (or automatic) annotation of documents for publishing on the Web using RDFa. It also
RDFa
Piece of information about the content of an image
the cluttered scene image is targeted and considered to include the reference object there. Computer vision Automatic image annotation Feature learning Feature
Feature_(computer_vision)
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can
List of manual image annotation tools
List_of_manual_image_annotation_tools
Method of 3D reconstruction from moving objects
(SfM) is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with
Structure_from_motion
Creation of a 3D model from a set of images
from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes
3D reconstruction from multiple images
3D_reconstruction_from_multiple_images
Computational navigational technique used by robots and autonomous vehicles
highly detailed map data collected in advance. This can include map annotations to the level of marking locations of individual white line segments and
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
3D reconstruction technique
reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis
Neural_radiance_field
Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as
Image restoration by artificial intelligence
Image_restoration_by_artificial_intelligence
dimension. This process can be accomplished by methods such as depth camera imaging, photometric stereo, or structure from motion, and is also referred to
4D_reconstruction
Determining the position and orientation of a robot by analyzing associated camera images
of a robot or other computer-based system by analyzing a set of camera images taken by the system of its environment. It has been used in a wide variety
Visual_odometry
Type of diagnosis assisted by computers
evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification". Medical Image Analysis.
Computer-aided_diagnosis
Algorithm in computer image processing
image. This originally referred to finding landmarks for navigational purposes – for instance, in robot vision or creating maps from satellite images
Landmark_detection
Partitioning a digital image into segments
techniquesPages displaying short descriptions of redirect targets List of manual image annotation tools Rigid motion segmentation Text segmentation – Human writing practice
Image_segmentation
Approach to create a short video summary of a long video
Video synopsis is a method for automatically synthesizing a short, informative summary of a video. Unlike traditional video summarization, the synopsis
Video_synopsis
Process used in video coding/compression
vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another;
Motion_estimation
Interdisciplinary field
"Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification" (PDF). Medical Image Computing and Computer-Assisted
Medical_image_computing
Topics referred to by the same term
to: Various techniques in Object recognition and categorization Automatic image annotation Various techniques in text processing and natural language processing
Automated_tagging
Process of recording the movement of objects or people
actors are sampled many times per second. Whereas early techniques used images from multiple cameras to calculate 3D positions, often the purpose of motion
Motion_capture
Anime-focused imageboard website
million tag annotations, covering uploads from 2005 to the end of 2021. These datasets have been used to train models for multi-label image classification
Danbooru
Computer-based method for summarizing a text
application example of automatic summarization. It consists in selecting a representative set of images from a larger set of images. A summary in this context
Automatic_summarization
Automatic analysis of video
known as video analysis or video analytics (VA), is the capability of automatically analyzing video to detect and determine temporal and spatial events
Video_content_analysis
character recognition – Automatic number plate recognition – Information extraction – Image retrieval – Automatic image annotation – Facial recognition systems
Outline of artificial intelligence
Outline_of_artificial_intelligence
in clear view on the camera. Using video motion analysis software, the image on screen can be calibrated to the size of the scale enabling measurement
Video_motion_analysis
Problem in computer vision and robotics
"Photometric Method for Determining Surface Orientation from Multiple Images". Optical Engineering. 19 (1): 139. Bibcode:1980OptEn..19..139W. doi:10
Bin_picking
Overview of and topical guide to computer vision
images Audio-visual speech recognition Augmented reality Augmented reality-assisted surgery Automated optical inspection Automatic image annotation Automatic
Outline_of_computer_vision
synthesis, or novel view synthesis, is a task which consists of generating images of a specific subject or scene from a specific point of view, when the only
View_synthesis
Chinese-American statistician and computer scientist
named as a 2020 IEEE Fellow, "for contributions to real-time automatic image annotation and image retrieval". "Jia Li", People, Penn State Department of Statistics
Jia_Li
Geometric entity created by a 3D reconstruction technique
an image can be separated from the background. Under this assumption, the original image can be thresholded into a foreground/background binary image, which
Visual_hull
Combining multiple images to create one
single image is more informative and accurate than any single source image, and it consists of all the necessary information. The purpose of image fusion
Image_fusion
Topical guide to object recognition
recognition Automatic image annotation Automatic target recognition Android Eyes - Object Recognition Computer-aided diagnosis Image panoramas Image watermarking
Outline_of_object_recognition
Process of capturing the shape and appearance of real objects
Revett, K. (20 February 2015). "3D reconstruction of medical images from slices automatically landmarked with growing neural models" (PDF). Neurocomputing
3D_reconstruction
Creation of knowledge from structured and unstructured sources
Staab, Steffen (2000). "From Manual to Semi-automatic Semantic Annotation: About Ontology-based Text Annotation Tools", Proceedings of the COLING, http://www
Knowledge_extraction
File format used to present documents
including logical structuring elements, interactive elements such as annotations and form-fields, layers, rich media (including video content), three-dimensional
Locating a moving object by analyzing frames of a video
communication and compression, augmented reality, traffic control, medical imaging and video editing. Video tracking can be a time-consuming process due to
Video_tracking
Technique and process of creating visual representations of the interior of a body
that operates randomly or automatically without any creative input or intervention from a human author" including "Medical imaging produced by X-rays, ultrasounds
Medical_imaging
include automatic classification, object detection, multimodal tasks, knowledge discovery in art history, and computational aesthetics. Synthetic images can
AI_art
Method of image retrieval
the image itself. CBIR is desirable because searches that rely purely on metadata are dependent on annotation quality and completeness. An image meta
Content-based_image_retrieval
Extraction of 3D data from digital images
Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about
Computer_stereo_vision
Three-dimensional videography technique
on one PC giving full volumetric capture with easy setup. It also has automatic sensors calibration and VFX functionality. Depthkit is a software suite
Volumetric_capture
microscopes that can acquire many images automatically is one of the reasons why analysis cannot be done by eye (otherwise, annotation would rapidly become the
Bioimage_informatics
Sub-area of digital image processing
Evolutionary image processing (EIP) is a sub-area of digital image processing. Evolutionary algorithms (EA) are used to optimize and solve various image processing
Evolutionary_image_processing
Photography with a digital camera
photography Automatic image annotation Camcorder Chimping Design rule for Camera File system (DCF) Digital camera Digital image editing Digital imaging Digital
Digital_photography
Publishing or transfer of photos online
into photo sharing platforms. AI is being used to improve image quality, automatically tag images with relevant keywords, detect and filter inappropriate
Image_sharing
in image processing. It refers to the problem in computer vision of ascertaining which parts of one image correspond to which parts of another image, where
Correspondence_problem
Technique used in videos to detect moment
Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various
Moving_object_detection
Technique in neural networks for learning joint representations of text and images
users to retrieve images based on text descriptions and vice versa, without the need for explicit image annotations. In text-to-image retrieval, users
Contrastive Language–Image Pre-training
Contrastive_Language–Image_Pre-training
Open-source deep learning library
decision or prediction about that data: e.g. sent an image, a model server might return a label for that image, identifying faces or animals in photographs.
Deeplearning4j
Medical imaging software
medical imaging platforms. AI-assisted annotation: MONAI Label assists researchers and practitioners in medical imaging by suggesting annotations based
Medical_open_network_for_AI
Overview of artificial intelligence for surveillance
surveillance utilizes computer software programs that analyze the audio and images from video surveillance cameras in order to recognize humans, vehicles,
Artificial intelligence for video surveillance
Artificial_intelligence_for_video_surveillance
Area of computer vision
human operator-mounted cameras (a.k.a. "wearables"). Applications include automatic surveillance, human robot interaction (video), SLAM, route planning, etc
Active_vision
Detecting small objects in digital images
Oishi, Yu; Matsunaga, Tsuneo (2010). "Automatic detection of moving wild animals in airborne remote sensing images". 2010 IEEE International Geoscience
Small_object_detection
"Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations". International Journal of Computer Vision. 123: 32–73. arXiv:1602
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
3D television technology
display or other 3D methods. Systems with more physical cameras can capture images with more coverage of the viewable scene, however, it is likely that certain
Free_viewpoint_television
that wants features to interactively inspect video content, as well as automatic content filtering features. For that purpose, several video interaction
Video_browsing
Computer technology
video frame by scanning the whole frame. The detector would “fire” if the image features inside the local search window meet certain criteria. Some methods
Pedestrian_detection
Image dataset
Intelligence Laboratory (CSAIL) that provides a dataset of digital images with annotations. The dataset is dynamic, free to use, and open to public contribution
LabelMe
Concept in computer vision
vision and image processing whose aim is to detect changes in image sequences. Background subtraction is any technique which allows an image's foreground
Foreground_detection
Web annotation tool
Blackboard to aid with collaborative annotation. The tool supports annotation of a range of media including text, images, equations, videos, PDFs, and snapshots
Perusall
autofocus cameras today. In its most simple form, the methods analyze an image based upon overall contrast from a histogram, the width of edges, or more
Shape_from_focus
is a software module for extracting background information from moving images. It has been developed by Oliver Barnich and Marc Van Droogenbroeck of the
ViBe
Process of categorizing documents
to generate manually curated annotation databases in biology Classification Compound-term processing Concept-based image indexing Document Document retrieval
Document_classification
is not entirely clear-cut; for example, some viewers allow adding of annotations, signatures, etc. Some software allows redaction, removing content irreversibly
List_of_PDF_software
Overview of and topical guide to natural language processing
problem of statistical classification. Automatic image annotation – process by which a computer system automatically assigns textual metadata in the form
Outline of natural language processing
Outline_of_natural_language_processing
Application of computer graphics to create or contribute to images
images in art, printed media, simulators, videos, and video games. These images are either static (i.e. still images) or dynamic (i.e. moving images)
Computer-generated_imagery
Conversion of raster graphics into vector graphics
final image was traced by hand in ink. Later the line-drawing image was scanned at 600 dpi, cleaned up in a paint program, and then automatically traced
Image_tracing
Taxonomic AI processes
Lei; Zhang, Feng; Wen, Zhenkun (2015-08-01). "Automatic Leaf Recognition from a Big Hierarchical Image Database". International Journal of Intelligent
Automated species identification
Automated_species_identification
publicly available content-based image retrieval (CBIR) engines. These image search engines look at the content (pixels) of images in order to return results
List_of_CBIR_engines
Sub-field of pathology
Gloria; Romero, Eduardo; González, Fabio (2011). "Automatic Annotation of Histopathological Images Using a Latent Topic Model Based On Non-negative Matrix
Digital_pathology
Audio analyser software
There are multiple types of annotation layers which can be edited, including time instants, time-value plots, labels and images. Time instants do not have
Sonic_Visualiser
Branch of machine learning
gamification (the embedding of annotation or computation tasks in the flow of a game), (2) "trapping and tracking" (e.g. CAPTCHAs for image recognition or click-tracking
Deep_learning
Generating high-resolution video frames from given low-resolution ones
video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR), the main goal is not only to restore more fine
Video_super-resolution
Geometrically corrected aerial photograph
orthophoto and allow an operator to digitize or place linework, text annotations or geographic symbols (such as hospitals, schools, and fire stations)
Orthophoto
Society. Freeman, H., Map data processing and the annotation problem, Proc. 3rd Scandinavian Conf. on Image Analysis, Chartwell-Bratt Ltd. Copenhagen, 1983
Automatic_label_placement
Social bookmarking website
attach sticky notes to specific highlights or to a whole page. These annotations can be kept private, shared with a group within Diigo, or be forwarded
Diigo
Subfield of computer vision
and less computational intensive. Various algorithms exist that perform automatic color correction. The UCM (Unsupervised Color Correction Method), for
Underwater_computer_vision
ImageNets is an open source framework for rapid prototyping of machine vision algorithms, developed by the Institute of Automation. ImageNets is an open
ImageNets
Computer file format
drawings, indexed color images, and photographs. It uses technologies such as image layer separation of text and background/images, progressive loading,
DjVu
Web framework for Python
type hints based on annotations. FastAPI extensively utilizes Pydantic models for data validation, serialization, and automatic API documentation. These
FastAPI
Processing of natural language by a computer
patent 9269353 "Universal Conceptual Cognitive Annotation (UCCA)". Universal Conceptual Cognitive Annotation (UCCA). Retrieved 2021-01-11. Rodríguez, F.
Natural_language_processing
Technique using a large language model as an evaluator
predefined criteria. It is used as a scalable, lower-cost alternative to human annotation and to reference-based metrics such as BLEU and ROUGE, which measure word
LLM-as-a-Judge
Camera technique
combinations. The image circle of the lens must be larger than the sensor in the camera, in order to avoid vignetting. Most SLR cameras provide automatic aperture
Tilt–shift_photography
Type of feedforward neural network
the last fully connected layer and applied for medical image segmentation (1991) and automatic detection of breast cancer in mammograms (1994). A different
Convolutional_neural_network
Image analysis and scientific visualization software
annotation features (fiducials and measurement widgets, customized color maps).[citation needed] Slicer's capabilities include: Handling DICOM images
3D_Slicer
Automatic conversion of spoken language into text
Speech recognition (automatic speech recognition (ASR), computer speech recognition, or speech-to-text (STT)) is a sub-field of computational linguistics
Speech_recognition
Data about other data
intelligence tools enable the user to create an annotation within the report that explains the trend. Such an annotation can enhance other users' understanding
Metadata
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
Girl/Female
Arabic, Indian, Tamil
Victory; Honest Image; True Image; Truth
Girl/Female
Maori
Image.
Girl/Female
Arabic, French, Muslim
Belief
Girl/Female
Hindu
Image, Symbolic
Boy/Male
Muslim
Image
Girl/Female
Indian
Image, Young
Girl/Female
Latin
Fortuna.
Boy/Male
Arabic, Muslim
Image
Girl/Female
Muslim
Image, Young
Girl/Female
Hindu
Image
Girl/Female
Tamil
Onalika | ஓநாலிகாÂ
Image
Onalika | ஓநாலிகாÂ
Girl/Female
Hindu
Golden image
Girl/Female
Tamil
Praatika | பà¯à®°à®¾à®¤à¯€à®•à®¾
Image, Symbolic
Praatika | பà¯à®°à®¾à®¤à¯€à®•à®¾
Girl/Female
Anglo Saxon
Image.
Girl/Female
Greek
Honest image.
Boy/Male
Hindu, Indian, Marathi
Image
Girl/Female
Tamil
Golden image
Girl/Female
Anglo Saxon
Image.
Girl/Female
Australian, Indonesian
Image
Boy/Male
Indian
Image
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
Boy/Male
Indian, Sanskrit
Gem of Thought; Gem that Fulfils Desires
Surname or Lastname
English
English : possibly an altered form of northern English Blamire, which is of uncertain origin. It may be a habitational name from a place named with the Old Norse elements blár ‘dark’ + mýrr ‘swamp’, ‘marsh’. The place Blamires in West Yorkshire takes its name from the surname rather than vice versa.
Boy/Male
English
From the Old English 'cuth' meaning famous, and 'beorth' meaning bright.
Girl/Female
Assamese, Gujarati, Hindu, Indian, Kannada, Punjabi, Sikh, Telugu
The Name of a Flower
Boy/Male
Hindu, Indian
Good Work
Girl/Female
Tamil
Inner beauty, Fame, Desired or longed for
Surname or Lastname
English and Irish (of Norman origin)
English and Irish (of Norman origin) : habitational name from any of the various places in northern France, such as Belleu (Aisne), named in Old French with bel ‘beautiful’ + l(i)eu ‘place’, or from Belleau (Meurthe-et-Moselle), which is named with Old French bel ‘lovely’ + ewe ‘water’ (Latin aqua), or from Bellou (Calvados), which is probably named with a Gaulish word meaning ‘watercress’. Compare French Beaulieu.In 1651 a Major William Bellew was granted 406 acres of land in Henrico Co., VA. In 1652 Lieut. Col. Bellew (possibly the same man), with another, was granted 1050 acres in James City Co.
Male
Spanish
Spanish form of Latin Benedictus, BENEDICTO means "blessed."Â
Boy/Male
American, British, English
Blend of Darell and Clarence
Girl/Female
Latin
Well spoken.
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
AUTOMATIC IMAGE-ANNOTATION
p. pr. & vb. n.
of Image
v. t.
To represent to the mental vision; to form a likeness of by the fancy or recollection; to imagine.
a.
Alt. of Automatical
a.
Pertaining to, or produced by, an automaton; of the nature of an automaton; self-acting or self-regulating under fixed conditions; -- esp. applied to machinery or devices in which certain things formerly or usually done by hand are done by the machine or device itself; as, the automatic feed of a lathe; automatic gas lighting; an automatic engine or switch; an automatic mouse.
a.
Not voluntary; not depending on the will; mechanical; as, automatic movements or functions.
n.
The figure or picture of any object formed at the focus of a lens or mirror, by rays of light from the several points of the object symmetrically refracted or reflected to corresponding points in such focus; this may be received on a screen, a photographic plate, or the retina of the eye, and viewed directly by the eye, or with an eyeglass, as in the telescope and microscope; the likeness of an object formed by reflection; as, to see one's image in a mirror.
n.
Image; likeness; hence, those formed in one's image; children; descendants.
n.
The state or quality of being automatic; the power of self-moving; automatic, mechanical, or involuntary action. (Metaph.) A theory as to the activity of matter.
n.
A distorted image.
a.
Automatic.
imp. & p. p.
of Image
n.
An image.
n.
A representation of anything to the mind; a picture drawn by the fancy; a conception; an idea.
a.
Having no image.
v. t.
To represent or form an image of; as, the still lake imaged the shore; the mirror imaged her figure.
pl.
of Automaton
n.
Hence: The likeness of anything to which worship is paid; an idol.
n.
A picture, example, or illustration, often taken from sensible objects, and used to illustrate a subject; usually, an extended metaphor.
n.
One who images or forms likenesses; a sculptor.
n.
Show; appearance; cast.