DLMSearch
Published 29 October 2012
Junfeng Ye, Jia Chen, Zejia Chen, Yihe Zhu, Shenghua Bao, Zhong Su
Citations7
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A system called DLMSearch is proposed which handles image query, searches for diversified landmarks and provides representative visual summaries, and presents a delicate photo summary for each returned landmark, considering both visual representativeness and diversity.
Abstract
This paper focuses on the problem of searching for diversified landmarks with photos. More particularly, we propose a system called DLMSearch which handles image query, searches for diversified landmarks and provides representative visual summaries. DLMSearch allows a user to upload a query photo and searches for landmarks with high relevance and diversity in real time. Then DLMSearch presents a delicate photo summary for each returned landmark, considering both visual representativeness and diversity. Quantative evaluations on a web-scale landmark photo collection demonstrate the effectiveness of the DLMSearch system. Experimental results verify the merits of the proposed system.
Keywords
Computer ScienceEngineering
International Journal of Computer VisionDistinctive Image Features from Scale-Invariant Keypoints
55,266 Citations2004David Lowe
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
International Journal of Computer VisionModeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
6,410 Citations2001Aude Oliva, Antonio Torralba
The performance of the spatial envelope model shows that specific information about object shape or identity is not a requirement for scene categorization and that modeling a holistic representation of the scene informs about its probable semantic category.
IEEE Transactions on Pattern Analysis and Machine IntelligenceTexture features for browsing and retrieval of image data
3,720 Citations1996B.S. Manjunath, Weixin Ma
Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy.
Locality-sensitive hashing scheme based on p-stable distributions
2,917 Citations2004Mayur Datar, Nicole Immorlica +2 more
A novel Locality-Sensitive Hashing scheme for the Approximate Nearest Neighbor Problem under lp norm, based on p-stable distributions that improves the running time of the earlier algorithm and yields the first known provably efficient approximate NN algorithm for the case p<1.
Scene completion using millions of photographs
731 Citations2007James Hays, Alexei A. Efros
ACM Transactions on GraphicsScene completion using millions of photographs
525 Citations2007James Hays, Alexei A. Efros
Generating diverse and representative image search results for landmarks
390 Citations2008Lyndon S. Kennedy, Mor Naaman
This work uses a combination of context- and content-based tools to generate representative sets of images for location-driven features and landmarks, a common search task.
Scene Summarization for Online Image Collections
348 Citations2007Ian Simon, Noah Snavely +1 more
This work proposes a solution to the problem of scene summarization by examining the distribution of images in the collection to select a set of canonical views to form the scene summary, using clustering techniques on visual features.
2009 IEEE Conference on Computer Vision and Pattern RecognitionTour the world: Building a web-scale landmark recognition engine
346 Citations2009Yan-Tao Zheng, Ming Zhao +7 more
This paper leverages the vast amount of multimedia data on the Web, the availability of an Internet image search engine, and advances in object recognition and clustering techniques, to address issues of modeling and recognizing landmarks at world-scale.
Lecture notes in computer scienceModeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
296 Citations2008Xiaowei Li, Changchang Wu +3 more
Photo2Trip
268 Citations2010Xin Lu, Changhu Wang +3 more
This paper proposes to leverage existing travel clues recovered from 20 million geo-tagged photos collected from www.panoramio.com to suggest customized travel route plans according to users' preferences, and can provide a customized trip plan for a tourist.
From context to content
146 Citations2004Marc Davis, Simon King +2 more
This paper describes a method for generating metadata for photos using spatial, temporal, and social context and proposes that leveraging contextual metadata at the point of capture can address the problems of the semantic and sensory gaps.
Mining city landmarks from blogs by graph modeling
103 Citations2009Rongrong Ji, Xing Xie +2 more
A graph modeling framework to discover city landmarks by mining blog photo correlations with community supervision and achieves personalized tourist suggestions by the collaborative filtering of tourism logs and author correlations is deployed.
Generating location overviews with images and tags by mining user-generated travelogues
52 Citations2009Qiang Hao, Rui Cai +4 more
This paper proposes a location overview generation approach, which first mines location-representative tags from travelogues and then uses such tags to retrieve web images and is presented via a novel user interface which provides an informative overview for a given location.
VirtualTour
28 Citations2006Feng Jing, Lei Zhang +1 more
The VirtualTour system is an online travel service dedicated on high quality images, which helps travelers plan their trip and a wieldy UI is designed to support several useful features, e.g. query by map, location or path.
Diversifying landmark image search results by learning interested views from community photos
14 Citations2010Yuheng Ren, Mo Yu +3 more
A novel non-parametric TOC generation and set-based ranking algorithm, MoM-DPM Sets, is proposed as the key technology of Agate, which ranks landmark image search results considering their relevance, diversity and quality.