• The new model is different in that it has to look at the meanings of the words, rather than just lower-level visual features of a picture.

    两种技术不同之处在于,本文介绍的新模型着眼于词语的意思,而不仅仅是较低等级的图片的视觉特征。

    youdao

  • Texture is one of the important visual features in image analysis.

    纹理作为一种重要的视觉特征,广泛应用于图像分析。

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  • This paper selects a variety of visual features as the fatigue characteristics, including Perclos, blinking frequency, yawning frequency and nodding frequency.

    本文选取了多种视觉特征作为疲劳估计特征,包括眼睛闭合程度、眨眼频率、打哈欠频率和点头频率。

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  • Symmetry is vital in the description of visual features.

    在视觉特征描述中,对称性是一个重要内容。

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  • Likewise, the brain tunes in different waves to code different visual features.

    同样,大脑调谐到不同波段编码不同视觉特征。

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  • The semantic gap between image semantic and visual features will be solved in image annotation.

    图像语义的标注需要解决图像高层语义和底层特征间存在的语义鸿沟。

    youdao

  • A novel news story automatic segmentation scheme based on audio-visual features and text information is presented.

    提出了一种新的基于音视频特征和文字信息自动分段新闻故事的方法。

    youdao

  • The contents of image include low level visual features and high level semantic in image retrieval based on content.

    在基于内容的图像检索中,图像的内容包括图像的低层视觉特征和高层语义。

    youdao

  • CBIR is an image retrieval technology, which synthesizes various visual features in digital image, such as color, textual, and shapes features.

    基于内容的图像检索是一种利用图像的颜色、纹理、形状等视觉特征进行图像检索的技术。

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  • The experimental result shows that the new method has better stability and visual features compared with MSE, SNR and minimum correlation coefficient.

    实验结果表明该方法与最小均方误差准则、信噪比准则和相关系数最小准则相比,具有更好的稳定性和视觉特性。

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  • This paper proposes the method to measure perceptual quality of compressed video which is based on human visual features, video contents and Fuzziness.

    论文提出了基于视觉特性、视频内容和模糊学的压缩视频感觉质量计算方法。

    youdao

  • Images that induce trypophobia, the fear of holes, share visual features with images of certain venomous animals, implying that the aversion has an evolutionary basis.

    引发密集恐惧症的图片与有毒动物的图片具有相似的视觉特征,说明这种恐惧可能是基于进化而形成的。

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  • To improve identification ability of visual features when illumination varies, the feature extracting method of self-adaptive illumination based on fuzzy control was proposed.

    为了提高变化光照下视觉特征的识别能力,提出一种光照自适应的特征提取方法。

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  • Then we train SVM classifier using visual features such as color, texture, and shape. Experimental results show that this approach can improve precision and recall effectively.

    该算法和传统色彩量化算法相比,降低了特征向量的维数,计算量小,受光照强度影响较小,提高了检索的性能。

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  • Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.

    传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像,这不能满足普通人按语义检索图像的需求。

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  • Studied the effects of the articulatory suppression and divided attention on the integration of visual features from the same dimension and different dimensions in the short-term memory.

    本文研究了发音抑制和分配注意对短时记忆中相同维度和不同维度的视觉信息整合表征的影响。

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  • A perfect video database organization should be that video feature vectors, which are not only semantic relevant but also their visual features themselves similar, are stored continuously.

    理想的视频库组织方法应该把语义相关并且特征相似的视频的特征向量相邻存储。

    youdao

  • Visual features-based insects recognition.

    基于视觉特征的昆虫识别方法。

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  • Visual features-based insects recognition.

    基于视觉特征的昆虫识别方法。

    youdao

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