A Person and Context Specific Approach for Skin Color Classification

Author(s):  
M. Wimmer ◽  
B. Radig ◽  
M. Beetz
Author(s):  
Mary Youssef

This book examines questions of identity, nationalism, and marginalization in the contemporary Egyptian novel from a postcolonial lens. Under colonial rule, the Egyptian novel invoked a sovereign nation-state by basking in its perceived unity. After independence, the novel professed disenchantment with state practices and unequal class and gender relations, without disrupting the nation’s imagined racial and ethno-religious homogeneity. This book identifies a trend in the twenty-first-century Egyptian novel that shatters this singular view, with the rise of a new consciousness that presents Egypt as fundamentally heterogeneous. Through a robust analysis of “new-consciousness” novels by authors like Idris ᶜAli, Bahaᵓ Tahir, Miral al-Tahawi, and Yusuf Zaydan, the author argues that this new consciousness does not only respond to predominant discourses of difference and practices of differentiation along the axes of race, ethno-religion, class, and gender by bringing the experiences of Nubian, Amazigh, Bedouin, Coptic, Jewish, and women minorities to the fore of Egypt’s literary imaginary, but also heralds the cacophony of voices that collectively cried for social justice from Tahrir Square in Egypt’s 2011-uprising. This study responds to the changing iconographic, semiotic, and formal features of the Egyptian novel. It fulfills the critical task of identifying an emergent novelistic genre and develops historically reflexive methodologies that interpret new-consciousness novels and their mediatory role in formalizing and articulating their historical moment. By adopting this context-specific approach to studying novelistic evolution, this book locates some of the strands that have been missing from the complex whole of Egypt’s culture and literary history.


2020 ◽  
Vol 12 (1) ◽  
pp. 1-21
Author(s):  
Rachel Murray

Abstract There has been increasing attention to the implementation of decisions of human rights bodies by scholars and by supranational institutions, states, litigants, and civil society. A project funded by the Economic and Social Research Council (ESRC) tracked the implementation by nine states of decisions adopted by human rights courts and commissions in the European, African and Inter-American systems and by select UN treaty bodies. This article summarizes the methodology and findings of the Project and in so doing forms an introduction to a series of articles and practice notes published in this special issue. A range of factors are identified from the research which influence implementation and stress the importance of a multifaceted, multidimensional approach to the issues. Implementation is not automatic and requires mechanisms, processes, and the involvement of actors (national and supranational) for states to comply with the reparations ordered in the decision. A case-by-case, state-by-state, context-specific approach is needed, tailored to the circumstances. This has implications for the manner in which litigants present their submissions, engage with state and supranational bodies and for the latter in terms of their roles and relationships with the various actors.


Social Forces ◽  
1974 ◽  
Vol 53 (2) ◽  
pp. 266-274 ◽  
Author(s):  
W. C. Martin ◽  
V. L. Bengtson ◽  
A. C. Acock

2011 ◽  
Vol 121-126 ◽  
pp. 672-676 ◽  
Author(s):  
Xin Yan Cao ◽  
Hong Fei Liu

Skin color detection is a hot research of computer vision, pattern identification and human-computer interaction. Skin region is one of the most important features to detect the face and hand pictures. For detecting the skin images effectively, a skin color classification technique that employs Bayesian decision with color statistics data has been presented. In this paper, we have provided the description, comparison and evaluation results of popular methods for skin modeling and detection. A Bayesian approach to skin color classification was presented. The statistics of skin color distribution were obtained in YCbCr color space. Using the Bayes decision rule for minimum cot, the amount of false detection and false dismissal could be controlled by adjusting the threshold value. The results showed that this approach could effectively identify skin color pixels and provide good coverage of all human races, and this technique is capable of segmenting the hands and face quite effectively. The algorithm allows the flexibility of incorporating additional techniques to enhance the results.


Social Forces ◽  
1974 ◽  
Vol 53 (2) ◽  
pp. 266 ◽  
Author(s):  
William C. Martin ◽  
Vern L. Bengtson ◽  
Alan C. Acock

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