Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search

Mobile landmark search (MLS) recently receives increasing attention for its great practical values. However, it still remains unsolved due to two important challenges. One is high bandwidth consumption of query transmission, and the other is the huge visual variations of query images sent from mobile devices. In this paper, we propose a novel hashing scheme, named as canonical view based discrete multi-modal hashing (CV-DMH), to handle these problems via a novel three-stage learning procedure. First, a submodular function is designed to measure visual representativeness and redundancy of a view set. With it, canonical views, which capture key visual appearances of landmark with limited redundancy, are efficiently discovered with an iterative mining strategy. Second, multi-modal sparse coding is applied to transform visual features from multiple modalities into an intermediate representation. It can robustly and adaptively characterize visual contents of varied landmark images with certain canonical views. Finally, compact binary codes are learned on intermediate representation within a tailored discrete binary embedding model which preserves visual relations of images measured with canonical views and removes the involved noises. In this part, we develop a new augmented Lagrangian multiplier (ALM) based optimization method to directly solve the discrete binary codes. We can not only explicitly deal with the discrete constraint, but also consider the bit-uncorrelated constraint and balance constraint together. Experiments on real world landmark datasets demonstrate the superior performance of CV-DMH over several state-of-the-art methods

The Cognitive Processes of Image Schema in Sino-American Economic News on The Belt and Road

This contrastive study decodes the language applications employed in news reports through image schematization to reproduce the ‘cognitive map’ of news writers in their ways of perceiving the world and exerting influence on news readers’ ways of perception. By analysing American economic news (AEN) and Chinese economic news (CEN) on the issue of ‘The Belt and Road’ (B&R) from the perspective of cognitive linguistics, the authors uncover and sketch out the hidden epistemic cognitive patterns and processes of both the Chinese and American writers. The study demonstrates that the schematic images and their constructions are organized in the mind of an individual as a network, with both metaphorical and formulaic schemas at different schematic levels, presenting a different process of cognitive entrenchment through which, in news discourses, image schema is utilized as a projection lens, projecting the covert cognitive processes onto overt language use and function

Current Discourse Space in Sino-American Economic News on “The Belt and Road”

To unveil the covert relation between cognitive perceptions and language use, and to probe into the cognitive mechanism revealed by news discourses, the authors set out to analyze the economic news semantically and textually, in an attempt to grasp a preliminary picture of different cognitive patterns of the Chinese and Americans on “The Belt and Road” (B&R), drawing insights on how people from different cultural backgrounds interpret B&R and its promotion, based on the current discourse space (CDS) analysis. The findings show that the variation of CDS frame applied in both Chinese and American news reports exists in dynamic linguistic representations, which sheds light on the substantial roles that mass media plays in affecting news readers’ perceiving manners or cognitive patterns. The authors emphatically claim that the promotion of B&R still has a long way to go until it reaches the highland of positive and objective social cognitive perceptions embedded in people from various backgrounds. This research provides evidences to identify interdependencies between particular CDS models that allow inferences about the CDS frames of a certain situation evoked by the news agencies and their discourse writers from different cultural backgrounds and from different political stances