搜索结果: 1-15 共查到“Image Retrieval”相关记录17条 . 查询时间(0.125 秒)
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...
MATCHING CONTENT-BASED SALIENCY REGIONS FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL
Content-based Saliency Region PartialDuplicate Image Retrieval Relative Saliency Ordering Constraint
2011/6/11
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
2010/11/24
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
2009/10/16
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...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
ImageCLEF 2008 Query Extension Techniques
2008/12/31
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
2008/12/31
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
2008/12/31
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
2008/10/17
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
2008/10/17
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...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
PKU at ImageCLEF 2008 Experiments with Query Extension Techniques Text-Base Content-Based Image Retrieval
2008/9/17
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...
DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
Image retrieval Region matching Relevance feedback AdaBoost Long-term learning
2008/1/17
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) unsupe...
Effective and Efficient Object-based Image Retrieval Using Visual Phrases
Object-based Image Retrieval Visual Phrases
2006/12/31
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual phrase is defined as a...
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’requirements. Previous methods mainly focus on presenting users with rel...
Improving the Image Retrieval Results via Topic Coverage Graph
Image retrieval re-rank topic coverage
2006/12/31
In the area of image retrieval, search engines are tender to retrieve images that are most relevant to the users’ queries. Nevertheless, in most cases,queries cannot be represented just by several que...