Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- Image Captioning(also: Automatic Image Description, AI Image Description)
- A computer vision task in which an AI model generates a natural language description of the content of an image. In accessibility contexts, image captioning technology enables visually impaired users to understand visual content by converting images into text that can be read…
- Image Classification(also: Visual Classification, Photo Classification)
- A computer vision task where a machine learning model assigns a category label to an input image based on its visual content. Image classifiers are trained on labeled example images and learn to recognize patterns associated with each category. In accessibility applications,…
- Image Obfuscation(also: Image Masking, Visual Privacy Protection)
- Techniques applied to images to obscure or remove sensitive visual information before sharing or processing, such as blurring, pixelation, edge filtering, or masking regions of an image. In accessibility contexts, image obfuscation is important for privacy-preserving assistive…
- Image Processing(also: Digital Image Processing)
- The use of computational algorithms to analyze, enhance, transform, or extract information from digital images. In accessibility, image processing techniques are applied to convert visual content into accessible formats for blind and visually impaired users, including generating…
- Image Retrieval(also: Content-Based Image Retrieval, CBIR, Visual Search)
- A computer vision technique that searches a database of images to find ones similar to a query image based on visual features rather than text metadata. In accessibility applications, image retrieval enables systems that can identify specific product instances (like a particular…
- Image Segmentation(also: Region Segmentation)
- A computer vision technique that partitions a digital image into multiple distinct regions or segments based on shared characteristics such as color, intensity, or texture. In accessibility applications, image segmentation is used to simplify complex images for tactile…
- Image Stitching(also: Photo Stitching, Panoramic Stitching)
- A computer vision technique that combines multiple overlapping photographs into a single wider or panoramic image. In accessibility contexts, image stitching enables blind users to capture more visual information from their environment than a single photo can provide, creating…
- ImageNet
- ImageNet is a large-scale visual database containing over 14 million labeled images organized into thousands of categories, widely used for training and benchmarking computer vision models. Many object detection and image classification systems used in accessibility…
- Inception-v3(also: Inception v3)
- A deep convolutional neural network architecture developed by Google for image recognition, introduced in 2015. It uses "inception modules" that apply multiple convolution filter sizes in parallel to efficiently capture features at different scales, balancing recognition…
- Instance Segmentation
- A computer vision technique that identifies and delineates individual objects within an image at the pixel level, distinguishing separate instances even when they belong to the same category. In accessibility contexts, instance segmentation enables assistive tools to provide…
- Instance-Level Recognition(also: Instance Recognition, Fine-Grained Recognition)
- A computer vision task that involves distinguishing between specific individual objects within the same general category, rather than just identifying broad categories. For example, while category-level recognition might identify something as "a bag of chips," instance-level…
- Intersection Detection(also: Junction detection, Corridor intersection recognition)
- A computer-vision or sensor-fusion technique used in indoor navigation systems for blind travellers to identify where two or more walkable corridors meet, so the navigation software can update the user's position on a map and issue a turn instruction at the right moment.…
- Isolated Sign Recognition(also: ISR, ISLR)
- A computer vision and machine learning task focused on identifying individual signs from video recordings where each video contains a single sign production, as opposed to continuous sign language recognition which processes connected signing in sentences or conversation.…
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