公开(公告)号：US20150269191A1

公开(公告)日：2015-09-24

申请号：US14603376

申请日：2015-01-23

Applicant: Beijing University of Technology

Inventor： Lijuan Duan ,  Wei Ma ,  Zeming Zhao ,  Xuan Zhang ,  Jun Miao

IPC: G06F17/30

CPC classification number: G06F16/5838

Abstract: The present invention discloses a method for retrieving a similar image based on visual saliencies and visual phrases, comprising: inputting an inquired image; calculating a saliency map of the inquired image; performing viewpoint shift on the saliency map by utilizing a viewpoint shift model, defining a saliency region as a circular region which taking a viewpoint as a center and R as a radius, and shifting the viewpoint for k times to obtain k saliency regions of the inquired image; extracting a visual word in each of the saliency regions of the inquired image, to constitute a visual phrase, and jointing k visual phrases to generate an image descriptor of the inquired image; obtaining an image descriptor for each image of an inquired image library; and calculating a similarity value between the inquired image and each image in the inquired image library depending on the image descriptors by utilizing a cosine similarity, to obtain an image similar to the inquired image from the inquired image library. Through the present invention, noise in expression of an image is reduced, so that the expression of the image in a computer may be more consistent with human understanding of the semantics of the image, presenting a better retrieving effect and a higher retrieving speed.

Abstract translation: 本发明公开了一种基于视觉效果和视觉短语检索相似图像的方法，包括：输入查询图像; 计算查询图像的显着图; 通过利用视点移动模型对显着性图进行视点移动，将显着区域定义为以视点为中心并以R为半径的圆形区域，并且将视点移动k次以获得查询的k个显着区域 图片; 提取查询图像的每个显着区域中的视觉词，构成视觉短语，并且连接k个视觉短语以生成所查询的图像的图像描述符; 获取查询的图像库的每个图像的图像描述符; 并且通过利用余弦相似度，根据图像描述符计算查询图像与查询图像库中的每个图像之间的相似度值，以从查询的图像库中获得类似于查询图像的图像。 通过本发明，图像的表达噪声减小，使得计算机中的图像的表达可以更好地符合人们对图像语义的理解，呈现更好的检索效果和更高的检索速度。