搜索结果: 1-15 共查到“Image retrieval”相关记录22条 . 查询时间(0.062 秒)
Sketch-based image retrieval in an integrated GIS environment
Image Retrieval Spatial Information Management Systems
2016/5/23
The intelligent retrieval of images from large databases is receiving increased attention in the computer vision community. In this paper we address this problem considering the particularities of ima...
MULTI-SPECTRAL REMOTE SENSING IMAGE RETRIEVAL BASED ON K-L TRANSFORMATION
Multi-spectral Remote Sensing Image Image Retrieval Spectral Characteristics K-L Transformation Annular Histogram
2016/3/17
Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the giganticdataba...
Privacy-Preserving Content-Based Image Retrieval in the Cloud (Extended Version)
Content-Based Image Retrieval (CBIR) Searchable Symmetric Encryption (SSE) Encrypted Data Processing
2015/12/24
Storage requirements for visual data have been increasing in recent years, following the emergence of many new
highly interactive multimedia services and applications for both personal and corporate ...
Large Scale Image Retrieval From Books
search engine image retrieval random walk book indexing large scale cloud computing
2014/12/8
Search engines play a very important role in daily life. As multimedia product becomes more and more popular, people have developed search engines for images and videos. In the first part of this thes...
REMOTE SENSING IMAGE RETRIEVAL WITH COMBINED FEATURES OF SALIENT REGION
Visual Attention Model Object Saliency Salient Regions
2014/7/23
Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the
existence of semantic gap. In order to improve retrieval precision, vi...
MATCHING CONTENT-BASED SALIENCY REGIONS FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL
Content-based Saliency Region PartialDuplicate Image Retrieval Relative Saliency Ordering Constraint
2013/7/24
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Modeling spatial and semantic cues for large-scale near-duplicated image retrieval
And–Or graph face fusion gender conversion
2013/7/24
Bag-of-visual Words (BoW) image representation has been illustrated as one of the most promising solutions for large-scale near-duplicatedimageretrieval. However, the traditional visual vocabulary is ...
Visual ContextRank for Web Image Retrieval
Image re-ranking random walk spatial co-occurrence visual matching
2013/7/16
Previous web image re-ranking approaches usually construct similarity measure on image level. Considering the diversity of large scale web image database, these approaches ignore the difference of imp...
Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions
an automated Content-Based Image Retrieval (CBIR) system dermoscopic images pigmented skin lesions
2010/2/25
The system is able to locate, retrieve and display dermoscopic images similar in appearance to one that is given as a query, using a set of primitive features not related to any specific diagnostic me...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
ImageCLEF 2008 Query Extension Techniques
2010/12/17
In this paper, we present our solutions for the WikipediaMM task at ImageCLEF 2008. The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogene...
Cross-media manifold learning for image retrieval & annotation
Cross-media image retrieval
2010/12/17
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval.However, the performance of visual & textual fusion is affected greatly b...
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2010/12/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
Previous web image re-ranking approaches usually construct similarity measure on image level. Considering the diversity of large scale web image database, these approaches ignore the
difference of im...
Cross-Media Manifold Learning for Image Retrieval & Annotation
Automatic image annotation Manifold learning Content-based image retrieval Web image search Co-training
2013/7/17
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval. However, the performance of visual & textual fusion is affected greatly ...
Constructing Visual Phrases for Effective and Efficient Object-Based Image Retrieval
Constructing Visual Phrases Effective and Effi cient Object-Based Image Retrieval
2013/7/17
The explosion of multimedia data necessitates effective and efficient ways for us to get access to our desired ones. In this article,we draw an analogy between image retrieval and text retrieval...