On Face Segmentation, Face Swapping, and Face Perception

We show that even when face images are unconstrained and arbitrarily paired, face swapping between them is actually quite simple. To this end, we make the following contributions. (a) Instead of tailoring systems for face segmentation, as others previously proposed, we show that a standard fully convolutional network (FCN) can achieve remarkably fast and accurate segmentations, provided that it is trained on a rich enough example set. For this purpose, we describe novel data collection and generation routines which provide challenging segmented face examples. (b) We use our segmentations to enable robust face swapping under unprecedented conditions. (c) Unlike previous work, our swapping is robust enough to allow for extensive quantitative tests. To this end, we use the Labeled Faces in the Wild (LFW) benchmark and measure the effect of intra- and inter-subject face swapping on recognition. We show that our intra-subject swapped faces remain as recognizable as their sources, testifying to the effectiveness of our method. In line with well known perceptual studies, we show that better face swapping produces less recognizable inter-subject results. This is the first time this effect was quantitatively demonstrated for machine vision systems

Télévision interactive : analyse exploratoire de l’attitude des consommateurs envers cette nouvelle forme de média.

La télévision interactive, en particulier l’interactivité entre les téléspectateurs et les programmes télévisés, constitue l’une des formes les plus ambitieuses de communication entre le consommateur et un média. Cette recherche exploratoire a pour objet de découvrir les attitudes des consommateurs à l’égard de cette nouvelle forme de média. Alors que la littérature ne fait état que des attitudes positives des consommateurs envers les médias interactifs, les résultats obtenus sont plus partagés. Ils montrent que les attitudes négatives sont diverses et nombreuses : elles sont d’ordre émotionnel, exprimées par différentes peurs, et utilitaire, exprimées par une non-considération du média. Les attitudes positives sont d’ordre cognitif, affectif et conatif : la télévision interactive est considérée comme intelligente, éducative, anti-passive et accompagnatrice.Interactive television, in particular interactivity between TV viewers and TV programs, appears as one of the most ambitious ways of communication between the consumer and a media. This exploratory research aims to discover consumers’ attitude toward this new form of media. Whereas the literature only mentions positive attitudes of consumers toward interactive media, results are more divided. They show that negative attitudes are various and numerous : they are emotional oriented, expressed by different fears, and utilitarian oriented, expressed like a gimmick. The positive attitudes are cognitive, affective and behavioral : interactive television is considered as intelligent, educative, anti-passive andenriched TV; interactive television; interactivity; attitude; télévision enrichie; télévision interactive; interactivité;

Perceptual grouping based on iterative multi-scale tensor voting

Abstract. We propose a new approach for perceptual grouping of oriented segments in highly cluttered images based on tensor voting. Segments are represented as second-order tensors and communicate with each other through a voting scheme that incorporates the Gestalt principles of visual perception. An iterative scheme has been devised which removes noise segments in a conservative way using multi-scale analysis and re-voting. We have tested our approach on data sets composed of real objects in real backgrounds. Our experimental results indicate that our method can segment successfully objects in images with up to twenty times more noise segments than object ones.