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Image Re-Ranking Modernistic Structure for Web Images

R. Vivekalakshmi, B. Yaalini, S. Karthik Raja | Ms. Sruthi Anand
2017 International Journal of Trend in Scientific Research and Development  
Re-ranking of images is an effective way to improve the results of web-based image search and it has been adopted by the current search engines.  ...  We propose a unique web Image re-ranking framework that provides learned Images visual and semantic meaning based on query keywords.  ...  It is also possible for numerous users to use this framework for online search of images from web Image search engine and based on the search query re-ranking of Images is posed to the user.  ... 
doi:10.31142/ijtsrd7005 fatcat:4nec22koj5fkvhuhdj7rhdlk64

Facilitating Image Search With a Scalable and Compact Semantic Mapping

Meng Wang, Weisheng Li, Dong Liu, Bingbing Ni, Jialie Shen, Shuicheng Yan
2015 IEEE Transactions on Cybernetics  
This paper introduces a novel approach to facilitating image search based on a compact semantic embedding.  ...  In our approach, the semantic concepts equated with query keywords and the images mapped into the vicinity of the prototype are retrieved by our scheme.  ...  In this way, we can map the query to the weighted combination of several existing concepts. Then, based on the semantic space, we can easily rank images for the given query.  ... 
doi:10.1109/tcyb.2014.2356136 pmid:25248210 fatcat:ak4iipelvzd2bftigjwfvpgmmm

Image Retrieval and Re-Ranking Techniques - A Survey

Mayuri D. Joshi, Revati M. Deshmukh, Kalashree N.Hemke, Ashwini Bhake, Rakhi Wajgi
2014 Signal & Image Processing An International Journal  
In contrast to the existing techniques, the re-ranking method fosters the interaction between modalities to find a tranquillity which is helpful for re-ranking.  ...  This re-ranking process aids the mutual transfer of information across multiple modalities to improvise search performance to facilitate authentic searching.  ...  Different from self-and crowd-re-ranking, example-based re-ranking relies on a few query examples provided by users for model learning.  ... 
doi:10.5121/sipij.2014.5201 fatcat:gusz6wizpbgsfgjt6asf7s44fi

Fast Re-ranking of Visual Search Results by Example Selection [chapter]

John Schavemaker, Martijn Spitters, Gijs Koot, Maaike de Boer
2015 Lecture Notes in Computer Science  
In this paper we present a simple, novel method to use stateof-the-art image concept detectors and publicly available image search engines to retrieve images for semantically more complex queries from  ...  Our low-key, datadriven method for associative recognition of unknown, or more elaborate, concepts in images allows user selection of visual examples to tailor query results to the typical preferences  ...  This research was performed in the GOOSE project, which is jointly funded by the MIST research program of the Dutch Ministry of Defense and the AMSN enabling technology program.  ... 
doi:10.1007/978-3-319-23192-1_32 fatcat:syikabyn75acvmw5strcjtuy4u

Visual Semantic Complex Network for Web Images

Shi Qiu, Xiaogang Wang, Xiaoou Tang
2013 2013 IEEE International Conference on Computer Vision  
Experimental results show that the VSCN leads to significant improvement on both the precision of image retrieval (over 200%) and user experience for image browsing.  ...  The nodes on this complex network are clusters of images with both visual and semantic consistency, called semantic concepts. These nodes are connected based on the visual and semantic correlations.  ...  Acknowledgements The authors would like to thank Deli Zhao for helpful discussions and Wei Li for help with ANOVA.  ... 
doi:10.1109/iccv.2013.450 dblp:conf/iccv/QiuWT13 fatcat:z35aevj5zvcpxagff236rnpwk4

A Survey on Visual Search Reranking

Thalla Shankar, Lalitha Manglaram, Murali Sadak
2014 IOSR Journal of Computer Engineering  
However the problem is not trivial especially when we are considering multiple features or modalities for search in image and video retrieval.  ...  Search reranking is considered as a best and common way to improves retrieval precision.  ...  To determine the fusion weights, the concept-to-modality relationship in a large number of visual concepts is mapped with the query.  ... 
doi:10.9790/0661-16197881 fatcat:7txgqtlicnfcffteakolplwdji

Harvesting visual concepts for image search with complex queries

Liqiang Nie, Shuicheng Yan, Meng Wang, Richang Hong, Tat-Seng Chua
2012 Proceedings of the 20th ACM international conference on Multimedia - MM '12  
Given a complex query, our scheme first detects the noun-phrase based visual concepts and crawls their top ranked images from popular image search engines.  ...  This paper presents a scheme to enhance web image reranking for complex queries by fully exploring the information from simple visual concepts.  ...  [35] explored how to utilize the plentiful but partially related samples, as well as the users' feedbacks, to learn complex queries in interactive concept-based video search.  ... 
doi:10.1145/2393347.2393363 dblp:conf/mm/NieYWHC12 fatcat:q2jm5vohlnfb5nfhnxhyqn7w6i

Image retrieval with query-adaptive hashing

Dong Liu, Shuicheng Yan, Rong-Rong Ji, Xian-Sheng Hua, Hong-Jiang Zhang
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Hashing-based approximate nearest-neighbor search may well realize scalable content-based image retrieval.  ...  In this article, we propose a query-adaptive hashing method which is able to generate the most appropriate binary codes for different queries.  ...  The other related work is Jiang et al. [2011] , which performs query-adaptive ranking for hashing-based image search.  ... 
doi:10.1145/2422956.2422958 fatcat:h3tid3s2bjeglcdwdpyalrzubi

Unsupervised multi-feature tag relevance learning for social image retrieval

Xirong Li, Cees G. M. Snoek, Marcel Worring
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
To solve the problem of learning tag relevance given multiple features, we introduce in this paper two simple and effective methods: one is based on the classical Borda Count and the other is a method  ...  Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval.  ...  Query-dependent Methods Given unsatisfactory image search results caused by subjective social tagging, query-dependent methods aim to improve image retrieval, either by re-ranking search results in terms  ... 
doi:10.1145/1816041.1816044 dblp:conf/civr/LiSW10 fatcat:sn775ukkjrbfppii24tjm23bnu

A Multimodal Learning to Rank model for Web Pages

2020 International Journal of Engineering and Advanced Technology  
To improve the ranking of webpages, multimodality based Learning to Rank model is proposed and implemented.  ...  "Learning-to-rank" or LTR utilizes machine learning technologies to optimally combine many features to solve the problem of ranking. Web search is one of the prominent applications of LTR.  ...  They used the concept of multimodality based search ranking using deep Convolutional networks to improve the quality of search results.  ... 
doi:10.35940/ijeat.f1442.089620 fatcat:2kfk6m47i5hhnfotnn7enheqzy

Extreme video retrieval

Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun Yang, Ming-Yu Chen
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine's ability to learn in real-time from user selected relevant video  ...  In either case, as humans search and find relevant results, the system can invisibly re-rank its previous best guesses using a number of knowledge sources, such as image similarity, text similarity, and  ...  In the long run, we intend to incorporate these insights into the system to further improve the active learning by taking the human weaknesses into account as well as the strengths.  ... 
doi:10.1145/1180639.1180721 dblp:conf/mm/HauptmannLYYC06 fatcat:53ae6kpcdbdjxepgu6wms6xwoa

Unified concept-based multimedia information retrieval technique

Ridwan Andi Kambau, Zainal Arifin Hasibuan
2017 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)  
The result of the concept detector process is placed in unified multimedia index database and waiting for the concept-based query to be matched into the Semantic Similarities with ontology.  ...  Learning model configures the concept detector to classify the multimedia object.  ...  The shortcoming of existing Concept-based MIR is the result of retrieval only in one media, Concept-based Text Retrieval only for text, Concept-based Image Retrieval only for image, Concept-based Audio  ... 
doi:10.1109/eecsi.2017.8239086 fatcat:tqw4gv6xzngjzpdsdme7bgdv6u

Accelerated Probabilistic Learning Concept for Mining Heterogeneous Earth Observation Images

Kevin Alonso, Mihai Datcu
2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
semantic annotations in order to calculate the posterior probabilities that allow the final probabilistic searches.  ...  We present an accelerated probabilistic learning concept and its prototype implementation for mining heterogeneous Earth observation images, e.g., multispectral images, synthetic aperture radar (SAR) images  ...  ACKNOWLEDGMENT The authors would like to thank European Space Imaging (EUSI) for providing the WorldView-2 images as well as the TerraSAR-X Science Service System (Project TELEIOS) for providing the TS-X  ... 
doi:10.1109/jstars.2015.2435491 fatcat:s2e7ntyz75dvrmg22yqmmai7ya

Video search reranking via online ordinal reranking

Yi-Hsuan Yang, Winston H. Hsu
2008 2008 IEEE International Conference on Multimedia and Expo  
In addition, ordinal reranking is ease of the ad-hoc thresholding for noisy binary labels and requires no extra off-line learning or training data.  ...  Ranking functions are by nature more effective than classification-based reranking methods in mining ordinal relationships.  ...  multi-modal approaches require multiple query example images, which could be difficult for users to prepare.  ... 
doi:10.1109/icme.2008.4607427 dblp:conf/icmcs/YangH08 fatcat:wjmbfhsr4zc4pevpxvlvdyqqmy

Multimedia search reranking

Tao Mei, Yong Rui, Shipeng Li, Qi Tian
2014 ACM Computing Surveys  
Multimedia search re-ranking, which reorders visual documents based on multimodal cues to improve initial text-only searches, has received increasing attention in recent years.  ...  Discovering knowledge or visual patterns from such a noisy ranked list to guide the re-ranking process is difficult. Numerous techniques have been developed for visual search re-ranking.  ...  The authors also would like to thank the anonymous reviewers for their valuable comments. This work was supported in part to Dr.  ... 
doi:10.1145/2536798 fatcat:6kmga3jo4fa2tp4354wukfuzja
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