Android移动终端SIFT算法的图像标签推荐系统设计
关键词 图像匹配 SIFT算法 Android 标签推荐
毕业论文设计说明书外文摘要
Title Image Tag Recommendation System for Mobile Platform
Abstract
With the popularity of social networks and the popularity of smart mobile terminals, more and more users prefer to taking advantage of intelligent terminal to shoot images and share their own image information, such as food, landscapes, etc. However, due to the increasing number of images and the limitation of the screen size of the mobile terminal, it makes the management of mobile terminal image resources very difficult. On the one hand, it is too large to complete the project of manually tagging massive images; on the other hand, putting tags on a image is very inconvenient for a user in a mobile terminal. To this end, we study the image tag recommendation problem of mobile terminals, combine digital image processing technology features with mobile intelligent terminal characteristics, design and implement the image tag recommendation system suitable for mobile terminals, which automatically recommends relevant tags for the images of mobile terminals and facilitate a user to classify and manage image resources.
Keywords Image matching SIFT algorithm Android Label recommendation
目 录 I
1 绪论 1
1.1 课题研究背景与意义 1
1.2 国内外研究状况 1
1.3 本文的研究内容 3
1.4 本文的组织结构 3
2 Android 基本知识 4
3 图像标签推荐算法介绍与实现 5
3.1 SIFT算法介绍 5
3.2 图像标签推荐系统算法实现 5
4 移动终端的图像标签推荐系统设计与实现 7
4.1 图片标签推荐系统需求分析 7
4.2 图片标签推荐系统总体设计 9
4.3 图片标签推荐系统详细设计 10
5 系统测试 16
5.1 测试环境 16
5.2 功能测试 16
6 总结 27
6.1 论文总结 27
6.2 展望 27
致 谢 28
参考文献29
1 绪论
1.1 课题研究背景与意义
随着计算机技术的发展，数字图像处理技术应用日益广泛，多媒体技术日新月异，网络中的各种多媒体资源爆炸式增长。为了对网络资源进行有效地组织管理和检索，添加标签成为一种有效的方法。
添加具有关键字特性的标签给资源，利用所加标签来进行网页导航和信息检索，当对关键字和信息资源进行检索时，使用标签会变得非常快速便捷，因此有必要研究如何为信息资源定义标签，进而研究避免手动添加标签的费时费力工作，即标签推荐。
下一篇：基于日志的事件摘要模块设计与实现