W2Go
Published 25 October 2010Open access
Yue Gao, Jinhui Tang, Richang Hong, Qionghai Dai, Tat‐Seng Chua, Ramesh Jain
Citations94
SJR quartileQ4
SJR score0.11
SNIP0.06
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 novel Automatic Landmark Ranking (ALR) method is proposed by utilizing the tag and geo-tag information of photos in Flickr and user knowledge from Yahoo Travel Guide, which can automatically recognize and rank the landmarks for travellers.
Abstract
10.1145/1873951.1873970
Keywords
Computer Science
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.
IEEE Transactions on Pattern Analysis and Machine IntelligenceNormalized cuts and image segmentation
15,696 Citations2000Jianbo Shi, Jitendra Malik
Mapping the world's photos
777 Citations2009David Crandall, Lars Bäckström +2 more
This work uses the spatial distribution of where people take photos to define a relational structure between the photos that are taken at popular places, and finds that visual and temporal features improve the ability to estimate the location of a photo, compared to using just textual features.
Tag ranking
481 Citations2009Dong Liu, Xian‐Sheng Hua +3 more
This paper proposes a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content, and applies tag ranking into three applications: tag-based image search, tag recommendation, and group recommendation.
Towards automatic extraction of event and place semantics from flickr tags
475 Citations2007Tye Rattenbury, Nathaniel Good +1 more
An approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns, and shows that the Scale-structure Identification method outperforms the existing techniques.
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.
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.
Tag-based social interest discovery
335 Citations2008Xin Li, Lei Guo +1 more
An Internet Social Interest Discovery system, ISID, to discover the common user interests and cluster users and their saved URLs by different interest topics, and shows that ISID can effectively cluster similar documents by interest topics and discover user communities with common interests no matter if they have any online connections.
World explorer
247 Citations2007Shane Ahern, Mor Naaman +2 more
This work analyzes the tags associated with the geo-referenced Flickr images to generate aggregate knowledge in the form of "representative tags" for arbitrary areas in the world, and uses these tags to create a visualization tool, World Explorer, that can help expose the content of the data, using a map interface to display the derived tags and the original photo items.
IEEE Transactions on MultimediaTowards a Relevant and Diverse Search of Social Images
230 Citations2010Meng Wang, Kuiyuan Yang +2 more
A diverse relevance ranking scheme that is able to take relevance and diversity into account by exploring the content of images and their associated tags, and it is shown that the diversity of search results can be enhanced while maintaining a comparable level of relevance.
Inferring semantic concepts from community-contributed images and noisy tags
208 Citations2009Jinhui Tang, Shuicheng Yan +3 more
This paper proposes a novel sparse graph-based semi-supervised learning approach for harnessing the labeled and unlabeled data simultaneously, and constructs an informative compact concept space with small semantic gap to infer the semantic concepts in this space to bridge the semantic gap.
Visual query suggestion
177 Citations2009Zheng-Jun Zha, Linjun Yang +3 more
This paper proposes a new query suggestion scheme named Visual Query Suggestion (VQS), which provides a more effective query interface to formulate an intent-specific query by joint text and image suggestions, and shows that VQS outperforms these engines in terms of both the quality of query suggestion and search performance.
Spirittagger
85 Citations2008Emily Moxley, Jim Kleban +1 more
Experiments on a data set consisting of over 100,000 Flickr photos in Los Angeles and Southern California show that the geographically relevant tag suggestion tool provides a significant improvement in precision-recall performance over baseline image-based similarity suggestion.
Lecture notes in computer scienceExploiting Flickr Tags and Groups for Finding Landmark Photos
51 Citations2009Rabeeh Ayaz Abbasi, Sergey Chernov +3 more
A new method to identify landmark photos using tags and social Flickr groups is proposed that outperforms state-of-the-art systems for landmark finding and is also applicable when GPS-coordinates for photos are not available.
Not all tags are created equal: Learning flickr tag semantics for global annotation
41 Citations2009Emily Moxley, Jim Kleban +2 more
The ability to automatically learn tag semantics by mining a global georeferenced image collection crawled from Flickr with the aim of improving an automatic annotation system is explored.
A visual analysis of the relationship between word concepts and geographical locations
28 Citations2009Keiji Yanai, Hidetoshi Kawakubo +1 more
A novel method to select representative photographs for regions in the worldwide dimensions, which helps detect cultural differences over the world regarding word concepts with high geo-location entropy is proposed.
Towards extracting flickr tag semantics
18 Citations2007Tye Rattenbury, Nathan Good +1 more
An approach for extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website supporting time and location (latitude/longitude) metadata, is described.
Lecture notes in computer scienceMediapedia: Mining Web Knowledge to Construct Multimedia Encyclopedia
17 Citations2009Richang Hong, Jinhui Tang +3 more
A dynamic multimedia encyclopedia that takes advantage of, and in fact is built from the text and image resources on the Web, and is flexible and extensible such that it can easily incorporate new kinds of mediums such as video and languages into the framework.
ACM Transactions on Intelligent Systems and TechnologyAccessible image search for colorblindness
13 Citations2010Meng Wang, Bo Liu +1 more
An intelligent system that accommodates colorblind users in image search that takes into account the colorblind accessibilities of the returned results and proposes an efficient recoloring algorithm to modify the colors of the images such that they can be better perceived by color blind users.
Estimating landmark locations from geo-referenced photographs
7 Citations2008Henrik Kretzschmar, Cyrill Stachniss +2 more
The problem of estimating the landmark locations as an optimization problem is formulated and it is shown that it is possible to accurately localize the landmarks in real world settings.