33,943 Hits in 8.0 sec

Exploring tag relevance for image tag re-ranking

Jie Xiao, Wengang Zhou, Qi Tian
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
In this paper, we propose to explore the relevance between tags for image tag re-ranking.  ...  Based on our tag relevance matrix, a randomwalk approach is leveraged to discover the significance of each tag. Finally, all tags in an image are re-ranked by their significance values.  ...  CONCLUSION In this paper, we propose a new approach for image tag re-ranking by exploiting tag-tag relevance using Latent Semantic Indexing on tag occurrence.  ... 
doi:10.1145/2348283.2348473 dblp:conf/sigir/XiaoZT12 fatcat:mxe6qw65hvc5vmbosl4j6dsmsa

Review on Tag based Image Search by Social Re-Ranking

Neethu Mathew
2017 International Journal for Research in Applied Science and Engineering Technology  
How to make top positioned ranked result relevant is the challenging problem. For that we re-rank images according to visual data, semantic data and social clues.  ...  The inter-user re-ranking and intra-user re-ranking methods are used to achieve a good trade-off between the diversity and relevance performance.  ...  Therefore, a ranking method that can explore tags and the images may provide a better social image search result.  ... 
doi:10.22214/ijraset.2017.8083 fatcat:3jw2xu5turhn3chwo6xqzo43ni

A Survey on Tag Based Image Search by Social Re-ranking

2017 International Journal of Recent Trends in Engineering and Research  
The paper propose a social re-ranking system for tag-based image retrieval with the consideration of image's relevance and diversity [1] .  ...  Keywords-Image Search; Tag based image search, Re-ranking, Number of Views to image, Diversity, Relevance. I.  ...  CONCLUSION In this survey, we studied and analyzed various different social re-ranking methods for tag-based image retrieval.  ... 
doi:10.23883/ijrter.2017.3024.zlgzm fatcat:hqyykxg25jegnlerf2l23sjkdm

Study Of Social Image Re-Ranking According Inter And Intra User Impact

B. Miss .Gaikwad Karuna, V. Miss. Dagadkhair Priyanka, R. Miss .Patahare Varsha, R. Miss. Aware Ashvini
2018 Zenodo  
Social media provides most of the websites for example Facebook that allows users to describe their images with special tag.  ...  image will rank higher.  ...  In This Paper, Author introduces a diverse relevance ranking scheme which simultaneously takes relevance and diversity into account by exploring the content of images and their associated tags.  ... 
doi:10.5281/zenodo.1411204 fatcat:mnyktqcwkjgs5drrgpxuaiye74

Image Tagging With Social Assistance

D. Dhayalan, M. Queen Mary Vidya, B. Gowri Priya
2018 International Journal of Trend in Scientific Research and Development  
Tag-primarily based definitely image are seeking for is an essential method to find photos shared with the aid of manner of clients in social networks.  ...  In this paper, we advocate a topic diverse ranking method for tag-primarily based photo retrieval with the eye of selling the situation insurance overall performance.  ...  TAGGING FIELDS OF APPLICATION Social Image Search with Diverse Relevance Ranking In this paper, Author suggest a social re-ranking system for tag based image recovery with the thought of image's application  ... 
doi:10.31142/ijtsrd14566 fatcat:hejrlm66ajg4bdbthx642kor4a

Personalized Tag based Image based Search Engines using clustering and similarity Indexing

Tejwant Telang
2018 International Journal for Research in Applied Science and Engineering Technology  
Images within communities will be re-ranked with the help of user's profile/ preferences/ google distance. The communities will be re-ranked on the basis of their cosine similarity coefficient.  ...  In our proposed system, we propose image based personalized search engine in which the images will be searched according to specified query as well as user's profile and preferences.  ...  This paper proposes 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.  ... 
doi:10.22214/ijraset.2018.3380 fatcat:qa7ppangrbfbjptyrxplecmody

Non-parametric kernel ranking approach for social image retrieval

Jinfeng Zhuang, Steven C. H. Hoi
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
In this paper, we present a novel framework for social image re-ranking based on a nonparametric kernel learning technique, which explores both textual and visual contents of social images for improving  ...  Regular approaches for social image retrieval simply adopt typical text-based image retrieval techniques to search for the relevant social images based on the associated tags, which may suffer from noisy  ...  for re-ranking the subset of the social images.  ... 
doi:10.1145/1816041.1816047 dblp:conf/civr/ZhuangH10 fatcat:nvgulwh54nf6va2a2zcn7v4hdm

A Study into Annotation Ranking Metrics in Community Contributed Image Corpora [chapter]

Mark Hughes, Gareth J. F. Jones, Noel E. O'Connor
2014 Lecture Notes in Computer Science  
In our study into automated annotation, we evaluate 5 alternate approaches to tf-idf to rank tag relevance in community contributed landmark image corpora.  ...  for this task.  ...  The top 4 results retrieved for this image using the vocabulary tree followed by SURF re-ranking.  ... 
doi:10.1007/978-3-319-12093-5_8 fatcat:dhge47r65vhblfu4mkhgunhhrm

Boost search relevance for tag-based social image retrieval

Dong Liu, Xian-Sheng Hua, Meng Wang, HongJiang Zhang
2009 2009 IEEE International Conference on Multimedia and Expo  
In this paper, we propose a relevance-based ranking scheme for social image search, aiming to automatically rank images according to their relevance to the query tag.  ...  However, currently tag-based image search on Flickr does not provide the option of relevance-based ranking, i.e., the search results cannot be ranked according to their relevance levels with respect to  ...  In this paper, we propose a method to derive relevance-based ranking for tag-based social image search.  ... 
doi:10.1109/icme.2009.5202833 dblp:conf/icmcs/LiuHWZ09 fatcat:wenuhum3rrcw3bxz7tswbfhf3y

Efficient and Secure Image Reranking for TBIR

G. Kavya
2018 International Journal for Research in Applied Science and Engineering Technology  
In this work we are using secure and efficient image re-ranking for TBIR.  ...  Tag based image search plays an vital role to find images shared by clients in social networks. However, how to make the top ranked result relevant and with diversity.  ...  So it will not provide security to retrieve images. IV. PROPOSED WORK Our proposed work Force which is a technique image Re-ranking using AES algorithm for TBIR.  ... 
doi:10.22214/ijraset.2018.4258 fatcat:dlehjxlzznga3eeplndxi7l3w4

Tag-based social image search with visual-text joint hypergraph learning

Yue Gao, Meng Wang, Huanbo Luan, Jialie Shen, Shuicheng Yan, Dacheng Tao
2011 Proceedings of the 19th ACM international conference on Multimedia - MM '11  
Visual content of images and tags have both been investigated. However, existing methods usually employ tags and visual content separately or sequentially to learn the image relevance.  ...  Tag-based social image search has attracted great interest and how to order the search results based on relevance level is a research problem.  ...  In [19] , a diverse relevance ranking scheme was proposed to re-rank images by exploring the content of images and their associated tags.  ... 
doi:10.1145/2072298.2072054 dblp:conf/mm/GaoWLSYT11 fatcat:fhob4n6z5nglhgirubj2wezon4

Relevant Clouds: Leveraging Relevance Feedback to Build Tag Clouds for Image Search [chapter]

Luis A. Leiva, Mauricio Villegas, Roberto Paredes
2013 Lecture Notes in Computer Science  
roughly 20% of the presented tags to be relevant for any query at any time; and 2) the importance given to the tags correlates with user judgments: tags ranked in the first positions tended to be perceived  ...  Previous work in the literature has been aimed at exploring tag clouds to improve image search and potentially increase retrieval performance.  ...  Then, a clicked tag can be used to disambiguate, filter, or re-rank the initial results and retrieve thus hopefully better images.  ... 
doi:10.1007/978-3-642-40802-1_18 fatcat:jgsop7jvwzg5lf4zo6pyrrc7pm

Large-scale web video shot ranking based on visual features and tag co-occurrence

Do Hang Nga, Keiji Yanai
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
Note that instead of treating the textual information as an additional feature for shot ranking, we explore the mutual reinforcement between shots and textual information of their corresponding videos  ...  We apply our proposed method to the system of extracting automatically relevant video shots of specific actions from Web videos [3] .  ...  For example, we can use a nonuniform damping vector as in [4] to bias shots which are visually related to relevant images during ranking computation.  ... 
doi:10.1145/2502081.2502139 dblp:conf/mm/NgaY13 fatcat:3sdzemawvvfxzi7tlupgrfh47i

Tag ranking

Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, Hong-Jiang Zhang
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this paper, we propose a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content.  ...  We first estimate initial relevance scores for the tags based on probability density estimation, and then perform a random walk over a tag similarity graph to refine the relevance scores.  ...  If we can rank the associated tags for each image based on the relevance level, then a better ranking for the tag based image search can be obtained(see Figure 14) .  ... 
doi:10.1145/1526709.1526757 dblp:conf/www/LiuHYWZ09 fatcat:6rvacxegebc5fpogcq4csfyuum


Xian-Sheng Hua, Linjun Yang, Jingdong Wang, Jing Wang, Ming Ye, Kuansan Wang, Yong Rui, Jin Li
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
This paper presents preliminary studies on the power of large-scale click data with a variety of experiments, such as building large-scale concept detectors, tag processing, search, definitive tag detection  ...  The semantic gap between low-level visual features and highlevel semantics has been investigated for decades but still remains a big challenge in multimedia.  ...  Tag Ranking Tag ranking is to rank the tags of an image according to their relevance or importance to the image [14, 13] .  ... 
doi:10.1145/2502081.2502283 dblp:conf/mm/HuaYWWYWRL13 fatcat:uu5r32pwjrciflvnwpx5gdwhbm
« Previous Showing results 1 — 15 out of 33,943 results