基于感受和择视的艺术表现方法研究

本文通过对感受—认识—选择过程的研究,发掘感受和择视的价值,并将其视为艺术创作的一种思维方法和认识方法运用到表现中。

论设计艺术方法“择视”的魅力之所在

达到任何目的都有所趋向的一个方法体系,这是无论人是否感知到,都客观存在的事实,艺术设计亦是如此。无论设计师是否总结、归纳,方法总是存在的。这些方法是设计师在日常生活,设计实践中有意无意的积累,也是设计师能力、经验的体现之一。本文以灯具为例阐述"择视"这种方法在灯具设计中的应用,同时就择视所产生的魅力进行简述。

Visual attention and clustering-based automatic selection of landmarks using single camera

An improved method with better selection capability using a single camera was presented in comparison with previous method. To improve performance, two methods were applied to landmark selection in an unfamiliar indoor environment. First, a modified visual attention method was proposed to automatically select a candidate region as a more useful landmark. In visual attention, candidate landmark regions were selected with different characteristics of ambient color and intensity in the image. Then, the more useful landmarks were selected by combining the candidate regions using clustering. As generally implemented, automatic landmark selection by vision-based simultaneous localization and mapping(SLAM) results in many useless landmarks, because the features of images are distinguished from the surrounding environment but detected repeatedly. These useless landmarks create a serious problem for the SLAM system because they complicate data association. To address this, a method was proposed in which the robot initially collected landmarks through automatic detection while traversing the entire area where the robot performed SLAM, and then, the robot selected only those landmarks that exhibited high rarity through clustering, which enhanced the system performance. Experimental results show that this method of automatic landmark selection results in selection of a high-rarity landmark. The average error of the performance of SLAM decreases 52% compared with conventional methods and the accuracy of data associations increases.

Research on the Cross Cultural Communication of TV Dance Show： Taking So You Think You Can Dance as the Example

In today’s global integration, TV dance talent show has gradually developed into a cultural industry, the trend of cross-cultural communication more and more significant. In this paper, Shanghai Oriental TV’s “ So You Think You Can Dance “ as the object of study, through the interpretation of the connotation of cross-cultural communication to analyze TV dance show across national boundaries. The entertainment dissemination form, the honorable person show dissemination charm and the audience participation the propagation effect three aspects analyze the television to dance choose the show program trans-culture dissemination the characteristic, then proposed that we must restructure the television to dance chooses the show program trans-culture dissemination the shape to need to pay great attention to cultural the compatibility, the dissemination mark innovation as well as the innovation proliferation.

Motion estimation based feature selection for visual SLAM

Feature selection is always an important issue in the visual SLAM （simultaneous location and mapping） literature. Considering that the location estimation can be improved by tracking features with larger value of visible time, a new feature selection method based on motion estimation is proposed. First, a k-step iteration algorithm is presented for visible time estimation using an affme motion model; then a delayed feature detection method is introduced for efficiently detecting features with the maximum visible time. As a means of validation for the proposed method, both simulation and real data experiments are carded out. Results show that the proposed method can improve both the estimation performance and the computational performance compared with the existing random feature selection method.

Frame complexity optimized selection for H.264/AVC video coding

To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First, it extracts the frame coding complexity from two rate distortion models, and then introduces five statistic modes to estimate the frame coding complexity. An optimal mode is selected according to the coding efficiency. Finally the paper presents a novel QP calculation method for the H.264/AVC rate control. Experimental results show that the proposed algorithra outperforms the algorithm integrated in the 3M model in obtaining precise frame coding complexity, achieving robust buffer control and improving coding quality. And the improving visual quality is high up to 0.90dB for CIF sequences.

WRESTLING WITH TWO THEORIES IN TEXT COMPREHENSION — A CRITICAL REVIEW OF HOSSEIN NASSAJI'S ARTICLE IN LANGUAGE LEARNING

This paper critically reviews Hossein Nassaji's Language Learning article, which systematically overviews the recent language processing theories, it is especially pertinent to schema theory as well as Walter Kintsch's construction-integration (CI) theory in reading comprehension. The article thoroughly investigates the unified theory (as Kintsch defines), construction-integration theory in text comprehension, which is mainly based upon the comparison with and analysis of the applications of schema theory from the perspective of language reading comprehension. The author tries to work out and illustrate this model as an alternative approach to the schema-oriented models previously used to solve reading comprehension problems in language teaching and leaning.

Reviewing guppy color vision： integrating the molecular and physiological variation in visual tuning of a classic system for sensory drive

Sensory drive predicts coevolution of mate choice signals with the sensory systems detecting those sig nals. Guppies are a classic model for sensory drive as mate preferences based on coloration differ across individuals and populations. A large body of work has identified variation in color vision, yet we lack a dir ect tie between how such variation in color vision influences variation in color preference. Here we bring together studies that have investigated guppy vision over the past 40years to： （1） highlight our current understanding of where variation occurs in the guppy color vision pathway and （2） suggest future ave nues of research into sources of visual system variation that could influence guppy color preference. This will allow researchers to design careful studies that couple measures of color preference with measures of visual system variation from the same individual or population. Such studies will finally provide im portant answers as to what sets the direction and speed of mate preference evolution via sensory drive.

Decline of selectivity of V1 neurons to visual stimulus spatial frequencies in old cats

Objective To examine whether the selectivity of visual cortical neurons to stimulus spatial frequencies would be affected by aging in cats.Methods In vivo extracellular single-unit recording techniques were employed to record the tuning responses of V1 neurons to different stimulus spatial frequencies in old and young adult cats.Results Statistical analysis showed that the mean optimal spatial frequency of grating stimuli that evoked the maximal response of V1 neurons in old cats was significantly lower than that in young adult cats.Furthermore,the mean high cut-off spatial frequency of grating stimuli that evoked the half amplitude of the maximal response of V1 neurons in old cats was also significantly lower than that in young adult cats.Conclusion These results are consistent with those reported in the V1 of old monkeys,suggesting that the age-related decline in the selectivity of visual cortical cells to spatial frequency could be generalized to all mammalian species and might contribute to visual acuity reduction in senescent individuals.

Fast prediction unit selection method for HEVC intra prediction based on salient regions

In order to reduce the computational complexity of the high efficiency video coding(HEVC) standard, a new algorithm for HEVC intra prediction, namely, fast prediction unit(PU) size selection method for HEVC based on salient regions is proposed in this paper. We first build a saliency map for each largest coding unit(LCU) to reduce its texture complexity. Secondly, the optimal PU size is determined via a scheme that implements an information entropy comparison among sub-blocks of saliency maps. Finally, we apply the partitioning result of saliency map on the original LCUs, obtaining the optimal partitioning result. Our algorithm can determine the PU size in advance to the angular prediction in intra coding, reducing computational complexity of HEVC. The experimental results show that our algorithm achieves a 37.9% reduction in encoding time, while producing a negligible loss in Bjontegaard delta bit rate(BDBR) of 0.62%.