Figure 1. The growth rates of the two most dangerous odd modes at a position 100cm from the leading edge in the experiment of Swearingen and Blackwelder (1987). Figure 2. The contours of the streamwise and normal velocity components for the most dangerous odd mode 100 cm from the leading edge in the experiment of Swearingen and Blackwelder (1987). Figure 3. The various regions of the three{dime...

1 Figure captions Fig.1 α dependence of several quantities in the RS solution for δ = 1 and T = 1. (a) q and R(dotted curve) (b) S RS (c) Λ 1 and Λ 3 (dotted curve) Fig.2 α dependence of q and R (dotted curve) in the RS solution for δ = 0. (a) T = 5 (b) T = 0.5 Fig.3 α dependence of the entropy in the RS solution for δ = 0. Solid and dashed curves denote S I RS and S II RS , respectively. (a) T...

Due to limitations of conventional text-based closed captions, expressions of paralinguistic and emotive information contained in the dialogue of television and film content are often missing. We present a framework for enhancing captions that uses animation and a set of standard properties to express five basic emotions. Using an action research method, the framework was developed from a desig...

We present a novel method of comparable corpora construction. Unlike the traditional methods which heavily rely on linguistic features, our method only takes image similarity into consideration. We use an image-image search engine to obtain similar images, together with the captions in source language and target language. On the basis, we utilize captions of similar images to construct sentence...

-This paper presents a video OCR system that automatically extracts closed captions from video frames as keywords (or as we called “cues”) for building annotations of sport videos. In this system, text regions that contain closed captions are first identified using support vector machines (SVMs). We then enhance the identified text regions by using two groups of asymmetric filters and recognize...

The aim of image captioning is to generate similar captions by machine as human do to describe image contents. Despite many efforts, generating discriminative captions for images remains non-trivial. Most traditional approaches imitate the language structure patterns, thus tend to fall into a stereotype of replicating frequent phrases or sentences and neglect unique aspects of each image. In th...