The analysis of facial beauty: an emerging area of research in pattern analysis

Much research presented recently supports the idea that the human perception of attractiveness is data-driven and largely irrespective of the perceiver. This suggests using pattern analysis techniques for beauty analysis. Several scientific papers on this subject are appearing in image processing, computer vision and pattern analysis contexts, or use techniques of these areas. In this paper, we will survey the recent studies on automatic analysis of facial beauty, and discuss research lines and practical application

Somaesthetics and Dance

Dance is proposed as the most representative of somaesthetic arts in Thinking Through the Body: Essays in Somaesthetics and other writings of Richard Shusterman. Shuster- man offers a useful, but incomplete approach to somaesthetics of dance. In the examples provided, dance appears as subordinate to another art form (theater or photography) or as a means to achieving bodily excellence. Missing, for example, are accounts of the role of dance as an independent art form, how somaesthetics would address differences in varying approaches to dance, and attention to the viewer’s somaesthetic dance experience. Three strategies for developing new directions for dance somaesthetics are offered here: identify a fuller range of applications of somaesthetics to dance as an independent art form (e.g. Martha Graham); develop somaesthetics for a wider range of theatre dance (e.g. ballet, modern and experimental dance); and relate somaesthetics to more general features of dance (content, form, expression, style, kinesthetics) necessary for understanding the roles of the choreographer/dancer and the viewer

At-home Cosmeceutical Application and Outpatient Treatments: A 3D Stepwise Facial Rejuvenation Approach

BACKGROUND: Aging affects the 3-dimensional structure of all the facial tissues: Bones, muscles, ligaments, adipose tissue, and skin. AIM: To customize minimally invasive treatments for facial rejuvenation, we present a standardized holistic approach characterized by at-home treatments in associations with outpatient procedures. METHODS: Forty-four patients underwent 3-dimensional stepwise facial rejuvenation and were evaluated prospectively. Each patient received a customized treatment plan based on a clinical examination and consultation. Treatment outcomes were evaluated from patient photographs with and skin analysis was performed with an A-One Smart automated skin analysis system. RESULTS: The mean age of the patients was 41.7 years and the approximate mean duration of treatment was 160 days. Patients applied cosmeceuticals such as retinoic acid. Outpatient procedures included the delivery of botulinum toxin or dermal fillers, thread lifting, chemical peels, etc. Upon treatment completion, significant improvements were noted in multiple domains: Skin elasticity and hydration increased, areas of hyper-pigmentation were less extensive, and there were fewer visible wrinkles and pores. CONCLUSION: Outcomes of the present article suggest how important is to customize facial anti-aging treatments. Nonsurgical treatments carried out progressively, involving the patient to perform at-home treatments in associations with outpatient procedures, let to achieve facial improvements in terms of increased skin elasticity and hydration, reduction of hyperpigmentation, wrinkles, and pores

6 Seconds of Sound and Vision: Creativity in Micro-Videos

The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content. Meanwhile, short online videos shared on social media platforms, or micro-videos, have arisen as a new medium for creative expression. In this paper we study creative micro-videos in an effort to understand the features that make a video creative, and to address the problem of automatic detection of creative content. Defining creative videos as those that are novel and have aesthetic value, we conduct a crowdsourcing experiment to create a dataset of over 3,800 micro-videos labelled as creative and non-creative. We propose a set of computational features that we map to the components of our definition of creativity, and conduct an analysis to determine which of these features correlate most with creative video. Finally, we evaluate a supervised approach to automatically detect creative video, with promising results, showing that it is necessary to model both aesthetic value and novelty to achieve optimal classification accuracy.Comment: 8 pages, 1 figures, conference IEEE CVPR 201