Scaling manifold ranking based image retrieval
نویسندگان
چکیده
منابع مشابه
Scaling Manifold Ranking Based Image Retrieval
Manifold Ranking is a graph-based ranking algorithm being successfully applied to retrieve images from multimedia databases. Given a query image, Manifold Ranking computes the ranking scores of images in the database by exploiting the relationships among them expressed in the form of a graph. Since Manifold Ranking effectively utilizes the global structure of the graph, it is significantly bett...
متن کاملManifold-Ranking-Based Keyword Propagation for Image Retrieval
In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, our keyword model is constructed in a straightforward manner by exploring the relationship among all images in the feature space in the learning stage. In relevance feedback, ...
متن کاملMulti-Manifold Ranking: Using Multiple Features for Better Image Retrieval
Manifold Ranking (MR) is one of the most popular graphbased ranking methods and has been widely used for information retrieval. Due to its ability to capture the geometric structure of the image set, it has been successfully used for image retrieval. The existing approaches that use manifold ranking rely only on a single image manifold. However, such methods may not fully discover the geometric...
متن کاملImplementation of Efficient Manifold Ranking (EMR) Model for Content-Based Image Retrieval
Hybrid wireless networks combining the advantages of both mobile ad-hoc networks and infrastructure wireless networks have been receiving increased attention due to their ultra-high performance. An efficient data routing protocol is important in such networks for high network capacity and scalability. However, most routing protocols for these networks simply combine the ad-hoc transmission mode...
متن کاملVisual Saliency Weighting and Cross-Domain Manifold Ranking for Sketch-Based Image Retrieval
A Sketch-Based Image Retrieval (SBIR) algorithm compares a linedrawing sketch with images. The comparison is made difficult by image background clutter. A query sketch includes an object of interest only, while database images would also contain background clutters. In addition, variability of hand-drawn sketches, due to “stroke noise” such as disconnected and/or wobbly lines, also makes the co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2014
ISSN: 2150-8097
DOI: 10.14778/2735496.2735498