La rhétorique professionnelle des conseillers d'orientation pour l'accès à la pratique de la médiation familiale une image publique floue

Depuis le 1er septembre 1997, cinq professionnels ont accès à la pratique de la médiation familiale. Les conseillers d'orientation sont de ce nombre et ils sont les professionnels les moins bien représentés en médiation familiale et ce, à plusieurs points de vue. Ce mémoire pose l'hypothèse que les conseillers d'orientation ont de la difficulté à s'imposer dans cette pratique parce qu'ils ont un problème d'identité professionnelle qui les empêche de convaincre de leur pertinence en tant qu'intervenants. Balisé par un contexte théorique à caractère sociologique reposant sur les concepts de rhétorique professionnelle (Paradeise, 1985) et d'espace professionnel (Bourdon, 1994), les transcriptions des débats tenus en commission parlementaire sur la médiation familiale ont été analysés à l'aide d'une méthodologie qualitative. Il appert que les conseillers d'orientation n'ont su utiliser correctement les éléments de rhétorique professionnelle, et par surcroît, ils ont été les grandes victimes des tactiques utilisées par les autres acteurs.

Image morphology: from perception to rendering

Complete image ontology can be obtained by formalising a top-down meta-language wich must address all possibilities, from global message and composition to objects and local surface properties.

Cataloguing Kays: Body Image in the Catalogues of Kay & Co Ltd of Worcester, 1920 - 2000. JISC Final Report

Cataloguing Kays is a university-run project intended to create a community web-archive to celebrate the history and public memory of Kay & Co Ltd of Worcester, a noted mailorder catalogue company which was, until 2006, the largest employer in Worcester. The Kays Archive, housed at UoW, is one of the most comprehensive archive collections of 20th century mail-order catalogues in the UK and has a strong local elevance. The catalogues provide a window into over 100 years of body image, social history, consumable goods, fashion and design. The Project Team created www.WorldofKays.org, an online, fully-searchable archive containing 1500 digitised images from the catalogues, 1920-2000. The website is intended to form a seed bed for international research, focussing in particular on the representation of body image and the way the catalogues represent the developing tropes of consumer lifestyle and aspiration. The images are enhanced by blog postings from or film and audio interviews with local residents and former Kays staff members, who recall how the goods were selected and presented; as well as the impact the mail-order industry had on shaping 20th century lifestyle and consumption. These interviews and blogs have been sourced through the Cataloguing Kays team’s outreach activity in the local, academic and online communities. From the outset, we, the Cataloguing Kays team, engaged with online communities through social media sites, Facebook and Twitter, and through specialist blogs and online forums, inviting comment and contributions. Through events for the general public and a programme of targeted community outreach work with Kays Heritage Group and support groups for Worcestershire’s young and adult carers, we have also collected filmed and audio reminiscence material as well as community art and poetry content for the website. Our academic conference, the Catalogue of Dreams, showcased both the website and the physical archive to the wider academic, cultural and heritage sectors, provoking lively debateand much interest from international scholars.

Adaptive self-calibrating image rejection receiver

An adaptive self-calibrating image rejection receiver is described, containing a modified Weaver image rejection mixer and a Digital Image Rejection Processor (DIRP). The blind source-separation-based DIRP eliminates the I/Q errors improving the Image Rejection Ratio (IRR) without the need for trimming or use of power-hungry discrete components. Hardware complexity is minimal, requiring only two complex coefficients; hence it can be easily integrated into the signal processing path of any receiver. Simulation results show that the proposed approach achieves 75-97 dB of IRR.

Feature Engineering in Fine-Grained Image Classification

Thesis (Ph.D.)--University of Washington, 2013

Design and low-power implementation of an adaptive image rejection receiver

This paper deals with and details the design and implementation of a low-power; hardware-efficient adaptive self-calibrating image rejection receiver based on blind-source-separation that alleviates the RF analog front-end impairments. Hybrid strength-reduced and re-scheduled data-flow, low-power implementation of the adaptive self-calibration algorithm is developed and its efficiency is demonstrated through simulation case studies. A behavioral and structural model is developed in Matlab as well as a low-level architectural design in VHDL providing valuable test benches for the performance measures undertaken on the detailed algorithms and structures.

Design of a power-aware digital image rejection receiver

This paper deals with and details the design of a power-aware adaptive digital image rejection receiver based on blind-source-separation that alleviates the RF analog front-end impairments. Power-aware system design at the RTL level without having to redesign arithmetic circuits is used to reduce the power consumption in nomadic devices. Power-aware multipliers with configurable precision are used to trade-off the image-rejection-ratio (IRR) performance with power consumption. Results of the simulation case studies demonstrate that the IRR performance of the power-aware system is comparable to that of the normal implementation albeit degraded slightly, but well within the acceptable limits.

Identification of image attributes that are most affected with changes in displayed image size

This paper describes an investigation of changes in image appearance when images are viewed at different image sizes on a high-end LCD device. Two digital image capturing devices of different overall image quality were used for recording identical natural scenes with a variety of pictorial contents. From each capturing device, a total of sixty four captured scenes, including architecture, nature, portraits, still and moving objects and artworks under various illumination conditions and recorded noise level were selected. The test set included some images where camera shake was purposefully introduced. An achromatic version of the image set that contained only lightness information was obtained by processing the captured images in CIELAB space. Rank order experiments were carried out to determine which image attribute(s) were most affected when the displayed image size was altered. These evaluations were carried out for both chromatic and achromatic versions of the stimuli. For the achromatic stimuli, attributes such as contrast, brightness, sharpness and noisiness were rank-ordered by the observers in terms of the degree of change. The same attributes, as well as hue and colourfulness, were investigated for the chromatic versions of the stimuli. Results showed that sharpness and contrast were the two most affected attributes with changes in displayed image size. The ranking of the remaining attributes varied with image content and illumination conditions. Further, experiments were carried out to link original scene content to the attributes that changed mostly with changes in image size.

Applications of Statistical Modeling in Iterative CT Image Reconstruction

Thesis (Master's)--University of Washington, 2015

Just noticeable differences in perceived image contrast with changes in displayed image size

An evaluation of the change in perceived image contrast with changes in displayed image size was carried out. This was achieved using data from four psychophysical investigations, which employed techniques to match the perceived contrast of displayed images of five different sizes. A total of twenty-four S-shape polynomial functions were created and applied to every original test image to produce images with different contrast levels. The objective contrast related to each function was evaluated from the gradient of the mid-section of the curve (gamma). The manipulation technique took into account published gamma differences that produced a just-noticeable-difference (JND) in perceived contrast. The filters were designed to achieve approximately half a JND, whilst keeping the mean image luminance unaltered. The processed images were then used as test series in a contrast matching experiment. Sixty-four natural scenes, with varying scene content acquired under various illumination conditions, were selected from a larger set captured for the purpose. Results showed that the degree of change in contrast between images of different sizes varied with scene content but was not as important as equivalent perceived changes in sharpness.

Image quality optimization, via application of contextual contrast sensitivity and discrimination functions

What is the best luminance contrast weighting-function for image quality optimization? Traditionally measured contrast sensitivity functions (CSFs), have been often used as weighting-functions in image quality and difference metrics. Such weightings have been shown to result in increased sharpness and perceived quality of test images. We suggest contextual CSFs (cCSFs) and contextual discrimination functions (cVPFs) should provide bases for further improvement, since these are directly measured from pictorial scenes, modeling threshold and suprathreshold sensitivities within the context of complex masking information. Image quality assessment is understood to require detection and discrimination of masked signals, making contextual sensitivity and discrimination functions directly relevant. In this investigation, test images are weighted with a traditional CSF, cCSF, cVPF and a constant function. Controlled mutations of these functions are also applied as weighting-functions, seeking the optimal spatial frequency band weighting for quality optimization. Image quality, sharpness and naturalness are then assessed in two-alternative forced-choice psychophysical tests. We show that maximal quality for our test images, results from cCSFs and cVPFs, mutated to boost contrast in the higher visible frequencies.