找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Image and Video Retrieval; 5th Internatinoal Co Hari Sundaram,Milind Naphade,Yong Rui Conference proceedings 2006 Springer-Verlag Berlin He

[复制链接]
楼主: 欺侮
发表于 2025-3-28 15:08:54 | 显示全部楼层
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461515.jpg
发表于 2025-3-28 18:56:21 | 显示全部楼层
Mining Novice User Activity with TRECVID Interactive Retrieval Tasksession did produce a broader shot space to be explored and resulted in more unique answer shots being discovered. Implications for shot suppression in video retrieval information exploration interfaces are discussed.
发表于 2025-3-29 01:42:53 | 显示全部楼层
Logistic Regression of Generic Codebooks for Semantic Image Retrievalination of patterns from the generic codebook. We evaluate the validity of our approach in an image retrieval scenario with two distinct large datasets of real-world photos and corresponding manual annotations.
发表于 2025-3-29 05:51:18 | 显示全部楼层
发表于 2025-3-29 10:43:55 | 显示全部楼层
发表于 2025-3-29 14:12:59 | 显示全部楼层
发表于 2025-3-29 17:34:09 | 显示全部楼层
Interactive Experiments in Object-Based Retrievalto an interactive experiment with 24 search topics and 16 users each performing 12 search tasks on 50 hours of rushes video. This experiment attempts to measure the impact of object-based search on a corpus of video where textual annotation is not available.
发表于 2025-3-29 23:05:50 | 显示全部楼层
发表于 2025-3-29 23:55:58 | 显示全部楼层
A Cascade of Unsupervised and Supervised Neural Networks for Natural Image Classificationgularities around interest points detected by a wavelet-based salient points detector. Finally, images are classified by using a multilayer perceptron receiving local prototypes distribution as input. This architecture obtains good results both in terms of global classification rates and computing times on different well known datasets.
发表于 2025-3-30 07:54:47 | 显示全部楼层
0302-9743 University, Tempe, AZ, USA: http://www. civr2006. org. Image and video retrieval cont- ues to be one of the most exciting and fast-growing research areas in the ?eld of multimedia technology. However, opportunities for exchanging ideas between researchers and users of image and video retrieval syst
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-4 11:12
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表