Published in Evolutionary intelligence
Imaging techniques are used to capture anomalies of the human body. The captured images must be understood for diagnosis, prognosis and treatment planning of the anomalies. Medical image understanding is generally performed by skilled medical professionals. However, the scarce availability of human experts and the fatigue and rough estimate procedu...
Published in SN Computer Science
Progress in image captioning is gradually getting complex as researchers try to generalize the model and define the representation between visual features and natural language processing. In the absence of any established relationship, every time a new dividend is added, it produced very little improvement, not considerable enough to make it genera...
Published in The Visual Computer
Image captioning is a hot topic of image understanding, and it is composed of two natural parts (“look” and “language expression”) which correspond to the two most important fields of artificial intelligence (“machine vision” and “natural language processing”). With the development of deep neural networks and better labeling database, the image cap...
Published in Multimedia Tools and Applications
Visual Question Answering (VQA) expands on the Turing Test, as it involves the ability to answer questions about visual content. Current efforts in VQA, however, still do not fully consider whether a question about visual content is relevant and if it is not, how to edit it best to make it answerable. Question relevance has only been considered so ...
Published in Neuroinformatics
CAS (Cell Annotation Software) is a novel tool for analysis of microscopic images and selection of the cell soma or nucleus, depending on the research objectives in medicine, biology, bioinformatics, etc. It replaces time-consuming and tiresome manual analysis of single images not only with automatic methods for object segmentation based on the Sta...
Published in Biological Cybernetics
Visual binding is the process of associating the responses of visual interneurons in different visual submodalities all of which are responding to the same object in the visual field. Recently identified neuropils in the insect brain termed optic glomeruli reside just downstream of the optic lobes and have an internal organization that could suppor...
Advance Driver Assistance Systems (ADAS) aim to automate/adapt/enhance trans-portation systems for safety and better driving. Various research topics are emerged to focus around the ADAS, including the object detection and recognition, image understanding, disparity map estimation etc. The presence of the specular highlights restricts the accuracy ...
Scene interpretation guided by a generic model benefits from structural representations of objects and their spatial relationships. In this paper, we consider nested conceptual graphs for encoding objects and groups of objects, spatial relationships between objects or between groups of objects, along with the imprecision and uncertainty attached to...
Published in Machine Vision and Applications
It is evident that crowd counting is one of bottlenecks for crowd-related computer vision theory and applications such as surveillance. Since accuracy of estimating crowd size dominantly depends on the performance of motion detection of pedestrians, this paper attacks the challenging problem mainly by proposing a motion segmentation method based on...
Image processing algorithms include methods that process images from their acquisition to the extraction of useful information for a given application. 1 Among interpretation algorithms, some are designed to detect, localize and identify one or several objects in an image. The problem addressed in this article is the evaluation of interpretation re...
