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L-system is a prevailing modeling method for generating fractals, especially self-similar patterns such as plants. However it's too hard to design an appropriate L-system to get the desired visual models of plants. In order to generate a favorable plant model, usually we need to deduce backwards or guess the production rules of the L-system and then try to modify some control parameters over and over...
Spoken word comprehension requires functionally hierarchical stages of analysis to conjunct acoustic-phonetic input with mental lexicon. How the specific process unfolds along time axis is still unclear. In this study, we utilized electroencephalograph (EEG) based source reconstruction technique to reveal spatiotemporal brain dynamics when 22 participants listened to disyllable nouns and verbs. Current...
Some visual saliency models have been proposed to describe how the human visual system perceives and processes visual information. In this paper we describe four frequency domain visual saliency models based on new spectrum processing methods. The four saliency models are the Gamma Corrected Spectrum (GCS) model, the Gamma Corrected Log Spectrum (GCLS) model, the Gaussian Filtered Spectrum (GFS) model,...
In this paper we describe a mobile-based hazardous material (hazmat) sign detection and recognition system. Hazmat sign detection is based on visual saliency models. We use saliency maps to denote regions that are likely to contain hazmat signs in complex scenes and then use a convex quadrilateral shape detector to find hazmat sign candidates in these regions. Experimental results show that our proposed...
Scalable video coding (SVC) is desirable for video applications in heterogeneous environments where users have a variety of terminals. Because motion-compensated prediction is used in SVC codec, when SVC video is transmitted over loss-prone networks, the decompressed video can suffer severe visual degradation across multiple frames. In order to overcome this, one scheme utilized at the decoder is...
A brain-computer interface (BCI) is a communication system that translates brain-activity into commands for a computer or other electronic devices. In other words, a BCI allows users to act on their environment by using only brain-activity, without using peripheral nerves and muscles. The feature selection and classification methods of EEG signals are two key points of the BCI system. In this paper,...
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