Manufacturing Orgasm: Visuality, Aurality, and Female Sexual Pleasure in Tsai Ming-liang’s The Wayward Cloud

publication-status: Publishedtypes: Article© 2011 by IntellectIn the study of both sex and the city, sound tends to be an aspect that does not receive as much attention as visuality. By examining the sound of sex in Tsai Ming-liang’s 2005 film, The Wayward Cloud, this article will argue that the aural is privileged over the visual and explore its implications for female subjectivity, sexual intimacy and gender politics. It suggests that the film challenges us to think whether it might be possible to forge what Mary Ann Doane calls ‘a political erotics of the voice’, but in a wayward manner that deploys comatose bodies that have no voice, that fragments the unity of voice and body and that privileges the representation of the sonic over the visual in a cinematic tradition that generally dictates otherwise

Angiopoietin-1 promotes functional neovascularization that relieves ischemia by improving regional reperfusion in a swine chronic myocardial ischemia model

10.1007/s11373-006-9082-xJournal of Biomedical Science134579-59

Sinologically Challenged

2002. New Chinese cinema: challenging representations. Sheila Cornelius and Ian Haydn Smith, Wallflower Press

«???,??????: ???,?? ???,?????» [Soft Power, film, and film festivals: Chris Berry, Luke Robinson, and Song Hwee Lim in conversation]

No description supplie

Activity Recognition in Egocentric Life-Logging Videos

With the increasing availability of wearable cameras, research on first-person view videos (egocentric videos) has received much attention recently. While some effort has been devoted to collecting various egocentric video datasets, there has not been a focused effort in assembling one that could capture the diversity and complexity of activities related to life-logging, which is expected to be an important application for egocentric videos. In this work, we first conduct a comprehensive survey of existing egocentric video datasets. We observe that existing datasets do not emphasize activities relevant to the life-logging scenario. We build an egocentric video dataset dubbed LENA (Life-logging EgoceNtric Activities) (http://people.sutd.edu.sg/similar to 1000892/dataset) which includes egocentric videos of 13 fine-grained activity categories, recorded under diverse situations and environments using the Google Glass. Activities in LENA can also be grouped into 5 top-level categories to meet various needs and multiple demands for activities analysis research. We evaluate state-of-the-art activity recognition using LENA in detail and also analyze the performance of popular descriptors in egocentric activity recognition