Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models

Deep convolutional neural networks have recently achieved great success on image aesthetics assessment task. In this paper, we propose an efficient method which takes the global, local and scene-aware information of images into consideration and exploits the composite features extracted from corresponding pretrained deep learning models to classify the derived features with support vector machine. Contrary to popular methods that require fine-tuning or training a new model from scratch, our training-free method directly takes the deep features generated by off-the-shelf models for image classification and scene recognition. Also, we analyzed the factors that could influence the performance from two aspects: the architecture of the deep neural network and the contribution of local and scene-aware information. It turns out that deep residual network could produce more aesthetics-aware image representation and composite features lead to the improvement of overall performance. Experiments on common large-scale aesthetics assessment benchmarks demonstrate that our method outperforms the state-of-the-art results in photo aesthetics assessment.Comment: Accepted by ICIP 201

Ceaseless Toil? Health and Labor Supply of the Elderly in Rural China

Deborah Davis-Friedmann (1991) described the “retirement” pattern of the Chinese elderly in the prereform era as “ceaseless toil”: lacking sufficient means of support, the elderly had to work their entire lives. In this paper we re-cast the metaphor of ceaseless toil in a labor supply model, where we highlight the role of age and deteriorating health. The empirical focus of our paper is (1) Documenting the labor supply patterns of elderly Chinese; and (2) Estimating the extent to which failing health drives retirement. We exploit the panel dimension of the 1991-93-97 waves of the China Health and Nutrition Survey, confronting a number of econometric issues, especially the possible contamination of age by cohort effects, and the measurement error of health. In the end, it appears that “ceaseless toil” is also an accurate depiction of elderly Chinese work patterns since economic reform, but failing health only plays a small observable role in explaining declining labor supply over the life-cycle.http://deepblue.lib.umich.edu/bitstream/2027.42/39965/3/wp579.pd

SMOQE: A System for Providing Secure Access to XML

XML views have been widely used to enforce access control, support data integration, and speed up query answering. In many applications, e.g., XML security enforcement, it is prohibitively expensive to materialize and maintain a large number of views. Therefore, views are necessarily virtual. An immediate question then is how to answer queries on XML virtual views. A common approach is to rewrite a query on the view to an equivalent one on the underlying document, and evaluate the rewritten query. This is the approach used in the Secure MOdular Query Engine (SMOQE). The demo presents SMOQE, the first system to provide efficient support for answering queries over virtual and possibly recursively defined XML views. We demonstrate a set of novel techniques for the specification of views, the rewriting, evaluation and optimization of XML queries. Moreover, we provide insights into the internals of the engine by a set of visual tools. 1