Description: 图像检索中基于元数据的特征提取方法的博士学位论文，对研究基于内容的图像检索技术的人员有益！-Image Retrieval Based on the characteristics of meta-data extraction method of a doctorate thesis on the study content-based image retrieval technology staff useful! Platform: |
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Author:田巾 |
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Description: C#给图片加日期，类似于图片水印，不过要比水印稍简单些，添加数码相片拍摄日期，实现过程概述：
获取元数据中的拍照日期时间，以字符串形式保存，分析字符串分别保存拍照日期和时间的标准格式，由列表中的文件创建内存位图对象，由位图对象创建Graphics对象的实例，绘制数码照片的日期/时间，将添加日期/时间戳后的图像进行保存，释放内存位图对象。
#region 获取数码相片的拍摄日期：
获取图像文件的所有元数据属性，保存倒PropertyItem数组，通过指定的数据流来创建Image，遍历所有元数据，获取拍照日期/时间，遍历图像文件元数据，检索所有属性，如果是PropertyTagDateTime，则返回该属性所对应的值，若没有相关的EXIF信息则返回N/A-C# to the picture and the date, similar to the picture watermark, but slightly simpler than the watermark, add digital photo shooting date, to achieve Process Overview: Get metadata camera date and time, stored as a string, parse the string stored separately photos standard format for the date and time from the list of files to create a memory bitmap object from a bitmap object to create an instance of the Graphics object to draw digital photo date/time, add date/time stamp the image to be saved, freeing memory Bitmap object.# Region for digital photo shooting date: Get all image file metadata attributes, save pour PropertyItem array by specifying the data stream to create Image, through all metadata for photos date/time, traverse the image file metadata retrieval All properties, if PropertyTagDateTime, return the property value corresponding to, if not related to the EXIF information for the return N/A Platform: |
Size: 12288 |
Author:tpudn55 |
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Description: Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata -Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata Platform: |
Size: 39936 |
Author:kilo |
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Description: An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that retrieval can be performed over the annotation words. Platform: |
Size: 24576 |
Author:ashkan1 |
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Search - metadata image retrieval