About: Accessible image is a research topic. Over the lifetime, 13 publications have been published within this topic receiving 53 citations. The topic is also known as: accessible graphic.
TL;DR: An intelligent system that accommodates colorblind users in image search that takes into account the colorblind accessibilities of the returned results and proposes an efficient recoloring algorithm to modify the colors of the images such that they can be better perceived by color blind users.
Abstract: This article introduces an intelligent system that accommodates colorblind users in image search. Color plays an important role in the human perception and recognition of images. However, there are about 8p of men and 0.8p of women suffering from colorblindness. We show that the existing image search techniques cannot provide satisfactory results for these users since many images will not be well perceived by them due to the loss of color information. To deal with this difficulty, we introduce a system named Accessible Image Search (AIS) to accommodate these users. Different from the general image search scheme that aims at returning more relevant results, AIS further takes into account the colorblind accessibilities of the returned results, that is, the image qualities in the eyes of colorblind users. The system contains three components: accessibility assessment, accessibility improvement, and color indication. The accessibility assessment component measures the accessibility scores of images, and consequently different reranking methods can be performed to prioritize images with high accessibilities. In the accessibility improvement component, we propose an efficient recoloring algorithm to modify the colors of the images such that they can be better perceived by colorblind users. Color indication aims to indicate the name of the interesting color in an image. We evaluate the introduced system with more than 60 queries and 20 anonymous colorblind users, and the empirical results demonstrate its effectiveness and usefulness.
TL;DR: A computer-implemented method for displaying images comprises collecting a plurality images from one or more image repositories and generating a slideshow comprising images for display on an electronic picture frame as mentioned in this paper.
Abstract: A computer-implemented method for displaying images comprises collecting a plurality images from one or more image repositories and generating, with the aid of a graphical user interface on an electronic display coupled to a server, a slideshow comprising images for display on an electronic picture frame. At least one image repository of the one or more image repositories can be a network accessible image repository. Next, the slideshow can be transmitted to the electronic picture. The slideshow can then be displayed on the electronic picture frame.
TL;DR: This work introduces an approach that automatically creates spatially registered image labels based on how a sighted person naturally interacts with the image, and collects behavioral data from sighted viewers of an image, specifically eye gaze data and spoken descriptions, and uses them to generate a spatially indexed accessible image.
Abstract: Many images on the Web, including photographs and artistic images, feature spatial relationships between objects that are inaccessible to someone who is blind or visually impaired even when a text description is provided. While some tools exist to manually create accessible image descriptions, this work is time consuming and requires specialized tools. We introduce an approach that automatically creates spatially registered image labels based on how a sighted person naturally interacts with the image. Our system collects behavioral data from sighted viewers of an image, specifically eye gaze data and spoken descriptions, and uses them to generate a spatially indexed accessible image that can then be explored using an audio-based touch screen application. We describe our approach to assigning text labels to locations in an image based on eye gaze. We then report on two formative studies with blind users testing EyeDescribe. Our approach resulted in correct labels for all objects in our image set. Participants were able to better recall the location of objects when given both object labels and spatial locations. This approach provides a new method for creating accessible images with minimum required effort.
TL;DR: In this article, a colorblind accessible image search technique is presented that re-rank the results of a relevance-ranked image search to account for the accessibility of the images to a color blind person.
Abstract: Colorblind accessible image search technique embodiments are presented that re-rank the results of a relevance-ranked image search to account for the accessibility of the images to a colorblind person. This is accomplished by first computing a colorblind accessibility quantity for each image of interest in the search results. A colorblind accessibility quantity quantizes the degree to which color information is preserved when an image is perceived by a colorblind person viewing the image. It is computed by generating a colorblind version of an image that simulates how the image would appear to the colorblind person. An amount quantifying the loss of color information between the image and the colorblind version of the image is then estimated. This estimate is used to compute the colorblind accessibility quantity for the image. Once the colorblind accessibility quantities have been computed, the image search results are re-ranked based on these quantities.
TL;DR: The paper proposes accessibility enhanced image formation technique with relevant modification required in screen readers/narrator software programs and positions its edge over the existing methods.
Abstract: Accessibility is one of the key checkpoints in all software's products, applications & websites. Accessibility with digital images has always been a major challenge for the industry. Images form an integral part of certain type of documents & most of the Web 2.0 compliant websites. Audience challenged with blindness and many dyslexics only makes use of screen readers/ text readers/narrator software programs to access the computer and computer displayed information. Such audience cannot view digital images/pictures. Hence drafting accessible documents or designing accessibility enhanced websites containing digital images representing figures, diagrams, map, snaps etc is a challenges. There are various published best practices for accessibility of documents or website containing images so that they can be better understood by the visually impaired users. But these are truly not enough to cover all kind of practical scenarios and this paper positions a need for a more innovative solutions. The paper also proposes accessibility enhanced image formation technique with relevant modification required in screen readers/narrator software programs and positions its edge over the existing methods.