Given a color image that was quantized in some hidden color space (termed compression color space) during previous JPEG compression, we aim to estimate this unknown compression color space from the image. This knowledge is potentially useful for color image enhancement and JPEG re-compression. JPEG quantizes the discrete cosine transform (DCT) coefficients of each color plane independently duri...

Using a novel paradigm to engage the long-term mappings between object names and the prototypical colors for objects, we investigated the retrieval of object-color knowledge as indexed by long-term priming (the benefit in performance from a prior encounter with the same or a similar stimulus); a process about which little is known. We examined priming from object naming on a lexical-semantic ma...

Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Cen...

Some everyday objects are associated with a particular color, such as bananas, which are typically yellow. Behavioral studies show that perception of these so-called color-diagnostic objects is influenced by our knowledge of their typical color, referred to as memory color. However, neural representations of memory colors are unknown. Here we investigated whether memory color can be decoded fro...

When speakers describe objects with atypical properties, do they include these properties in their referring expressions, even when that is not strictly required for unique referent identification? Based on previous work, we predict that speakers mention the color of a target object more often when the object is atypically colored, compared to when it is typical. Taking literature from object r...

Information visualization involves the visual, and sometimes interactive, presentation and organization of complex data in a clear, compelling representation. Information visualization is an essential element in peoples’ daily lives, especially those in data-driven professions, namely online educators. Although information visualization research and methods are prevalent in the diverse fields o...

The extraction of objects present in photographs is a major problem to tackle when considering photographs retrieval. Such objects (or people) have to be detected in a way to allow retrieval based on concepts and not on physical characteristics like colors or textures. In a way to achieve a reasonable detection rate, in context image analysis has to be used. We propose here to use conceptual gr...

Collaborative and Participatory work via Web tends to increase due to teams of professionals’ needs in accomplishing tasks separated by distance and time, which demands more effort and stronger commitment from each person. In this context, it must be considered cultural differences, which interfere with the performance of each individual and either promote or deny the communication intended for...

In this paper, we design and implement a concept-based image retrieval system using feature information, more specifically, edge histogram description. The general edge histogram framework is a novel index mechanism which allows us to describe a content of images. However, there is a significant drawback in the framework that it can not accommodate a concept-based retrieval. Even if images are ...

Article history: Received 1 April 2016 Received in revised form 25 July 2016 Accepted 25 July 2016 Available online 01 August 2016 This study tests the hypotheses that school bonding mediates the relationship between adolescents' racial background and key risk behaviors (substance use, failing grades, and fighting). Data sources include an epidemiological survey administered at 50 urban schools...