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首页> 外文会议>2015 Global Conference on Communication Technologies >Content-based image retrieval from videos using CBIR and ABIR algorithm
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Content-based image retrieval from videos using CBIR and ABIR algorithm

机译：使用CBIR和ABIR算法从视频中基于内容的图像检索

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Content-based video retrieval is very interesting point where it can be used in our daily life. Video retrieval is regarded as one of the most important in multimedia research. The development of multimedia data types there is demand of video retrieval system. Video retrieval can be used for video search and browsing which are useful in web applications. Selection of extracted features play an important role in content based video retrieval. There are two types of feature extraction, low level feature extraction and high level feature extraction. Low level feature extraction based on color, shape, texture, spatial relationship. The main goal of this paper is that, user can give the two different types of input in the form of image query and the text query. First one is that give the input in the form of image query and retrieved image which is similar to the query image by using the CBIR algorithm. CBIR is still developing science. Retrieval of images based on visual features such as color, texture and shape. In this paper gives a detail description of a system developed for retrieving images similar to a query image from a different large set of image. Second one is that give the input in the form of text query and retrieved image by using the ABIR technique. ABIR is powerful algorithm for the information retrieval it can utilize their powerful natural language. Annotation is never complete.
机译：基于内容的视频检索非常有趣，可以在我们的日常生活中使用。视频检索被认为是多媒体研究中最重要的内容之一。多媒体数据类型的发展对视频检索系统有需求。视频检索可用于视频搜索和浏览，这在Web应用程序中很有用。提取特征的选择在基于内容的视频检索中起着重要作用。特征提取有两种类型，低级特征提取和高级特征提取。基于颜色，形状，纹理，空间关系的低级特征提取。本文的主要目标是，用户可以以图像查询和文本查询的形式给出两种不同类型的输入。第一个是使用CBIR算法以图像查询和检索图像的形式给出输入，该图像类似于查询图像。 CBIR仍在发展科学。根据视觉特征（例如颜色，纹理和形状）检索图像。在本文中，将详细描述为从不同的大型图像集中检索类似于查询图像的图像而开发的系统。第二个是使用ABIR技术以文本查询和检索图像的形式提供输入。 ABIR是一种强大的信息检索算法，它可以利用其强大的自然语言。注释永远不会完成。

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