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Towards a framework for attribute retrieval

Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauvagnat
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
Furthermore, we show we can reinforce instance attribute retrieval if similar instances are available. Our approach uses HTML tables which are probably the largest source for attribute retrieval.  ...  On the other hand, given a class (e.g. universities) represented by a set of instances, we retrieve common attributes of its instances.  ...  The combination of these techniques contributes to build a framework for attribute retrieval at Web-scale. The paper is structured as follows. The next section is about related work.  ... 
doi:10.1145/2063576.2063654 dblp:conf/cikm/KoplikuBP11 fatcat:erki5seofbhzhgwsfzhlv6ywri

An application framework for implicit sentiment human-centered tagging using attributed affect

Konstantinos C. Apostolakis, Petros Daras
2013 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)  
In this paper, a novel framework for implicit sentiment image tagging and retrieval is presented, based on the concept of attributed affect.  ...  Our experiments show that our framework successfully channels behavioral tags (in the form of affective labels) to the data tagging and retrieval loop, even when applied in the context of a cost-efficient  ...  In this paper, a novel framework introducing Attributed Affect to the implicit image tagging and retrieval loop is presented, and a cost-efficient implementation using a single low resolution web camera  ... 
doi:10.1109/wiamis.2013.6616145 dblp:conf/wiamis/ApostolakisD13 fatcat:ebim3cfepfh2ff272orb2xjx2m

Approaches, Challenges and Future Direction of Image Retrieval [article]

Hui Hui Wang, Dzulkifli Mohamad, N. A. Ismail
2010 arXiv   pre-print
Drive towards semantic features is due to the problem of the keywords which can be very subjective and time consuming while low level features cannot always describe high level concepts in the users' mind  ...  This paper attempts to discuss the evolution of the retrieval approaches focusing on development, challenges and future direction of the image retrieval.  ...  simple semantic retrieval such as retrieval of objects of a given type but pays little attention on the retrieval by abstract attributes, involving a significant amount of high-level reasoning about the  ... 
arXiv:1006.4568v1 fatcat:fr5yznvyrja7johscgmqjiuop4

Building Community in the Library, One Bitstrip at a Time

Jolanda-Pieta (Joey) van Arnhem
2014 Charleston Advisor  
Retrieved May 6, 2014, from Association of College and Research Libraries website: Get The Charleston  ...  Resources The open educational resources (OER) produced from the workshop series are freely available for faculty and student use and can be modified or adapted with attribution under a Creative  ... 
doi:10.5260/chara.15.4.56 fatcat:4epggxnodnbarcngddnozjax6m

Toward a Unified View of Data and Services [chapter]

Sonia Bergamaschi, Andrea Maurino
2009 Lecture Notes in Computer Science  
mappings • which connects data representations to service descriptions. • To be used by the query transformation engine to translate a query for data into a query for retrieving services.  ...  unified view of data and services for a semantic peer within a network • To do list:• Extension of the MOMIS Query Manager to retrieve services and multimedia data in a semantic peer • Querying and providing  ... 
doi:10.1007/978-3-642-04409-0_6 fatcat:h7zsfvk5zral3bljdwosrmufqm

Scene Graph based Image Retrieval – A case study on the CLEVR Dataset [article]

Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra
2019 arXiv   pre-print
Motivated by this, we propose a neural-symbolic approach for a one-shot retrieval of images from a large scale catalog, given the caption description.  ...  Further, we briefly describe an extension of this pipeline to an iterative retrieval framework, based on interactive questioning and answering.  ...  Our framework of scenegraph based image-retrieval allows for a neural symbolic approach to achieve this, by posing retrieval as a strategic search, and incorporating the strategies and structural constraints  ... 
arXiv:1911.00850v1 fatcat:j5lktzr65ffbna5x77uu5bnksy

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback [article]

Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogerio Feris
2020 arXiv   pre-print
We provide a detailed analysis of the characteristics of the Fashion IQ data, and present a transformer-based user simulator and interactive image retriever that can seamlessly integrate visual attributes  ...  labels for these images.  ...  We believe that both the dataset and the frameworks explored in this paper will serve as important stepping stones toward building ever more natural and effective interactive image retrieval systems in  ... 
arXiv:1905.12794v3 fatcat:t6pypb64hfharld4aecfe7ffva

Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval [chapter]

Peter Enser, Christine Sandom
2003 Lecture Notes in Computer Science  
This analytic framework provides the basis for the specification of a broadly encompassing evaluation study, which will employ the image/user type classification and the expert domain knowledge of selected  ...  This paper adopts the premise that the 'semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which this deficiency might be made  ...  This framework provides the basis for a proposal to set up a formal study which is intended to generate a more comprehensive evaluation of visual image retrieval paradigms than any reported thus far.  ... 
doi:10.1007/3-540-45113-7_29 fatcat:u36guipilvf3tksop2qzqqn3bu

Extending RapidMiner with Data Search and Integration Capabilities [chapter]

Anna Lisa Gentile, Sabrina Kirstein, Heiko Paulheim, Christian Bizer
2016 Lecture Notes in Computer Science  
This demo shows an extension to RapidMiner, a popular data mining framework, which enables analysts to search for relevant datasets and integrate discovered data with data that they already know.  ...  In particular, we support the iterative extension of data tables with additional attributes.  ...  Acknowledgments This paper describes the first public demo of the project DS4DM (Data Search for Data Mining), funded by the German Federal Ministry of Education and Research (BMBF).  ... 
doi:10.1007/978-3-319-47602-5_33 fatcat:hlrdumlrwvdc5dvbompbpyylia

Efficient Visual Recognition

Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool
2020 International Journal of Computer Vision  
image retrieval A general framework for deep supervised discrete hashing Image retrieval Product quantization network for fast visual search Image and video retrieval Weakly-supervised semantic  ...  With such a framework, the binary codes of novel images can be readily obtained by quantizing the outputs of a specific CNN layer, and different retrieval tasks can be achieved by using the binary codes  ... 
doi:10.1007/s11263-020-01351-w fatcat:mbcq6shmerbo5njayscgb3t4rq

Towards integrating semantics of multi-media resources and processes in e-Learning

Weihong Huang, Emmanuel Eze, David Webster
2006 Multimedia Systems  
framework for personalized learning.  ...  This framework supports intelligent e-Learning with a knowledge network for knowledge object visualization, an enhanced Kolb's learning cycle [31] to guide learning practices, and a learning health care  ...  Acknowledgements The authors are grateful to the anonymous reviewers of this paper for their insightful and valuable comments to make this paper a more solid literature piece.  ... 
doi:10.1007/s00530-005-0009-6 fatcat:fty3jvlbvrfwlgsgsgvd3d2mqq

Towards a General Framework for Substitutional Adaptation in Case-Based Reasoning [chapter]

Sara Manzoni, Fabio Sartori, Giuseppe Vizzari
2005 Lecture Notes in Computer Science  
This paper describes a general framework for substitutional adaptation, which only requires analogical domain knowledge, very similar to the one required to define a similarity function.  ...  A case study focused on the adaptation of cases related to truck tyre production processes is also presented.  ...  A case study in which this framework was applied for the development of an adaptation module for a CBR system supporting the design of a production process will then be introduced.  ... 
doi:10.1007/11558590_34 fatcat:cjmry3aur5cn3ccq36mel35lpm

Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set

Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, Shuicheng Yan
2012 2012 IEEE Conference on Computer Vision and Pattern Recognition  
The extensive experimental evaluations on the collected datasets well demonstrate the effectiveness of the proposed framework for crossscenario clothing retrieval.  ...  We collect a large online shopping dataset and a daily photo dataset, both of which are thoroughly labeled with 15 clothing attributes via Mechanic Turk.  ...  So we construct a new database for cross-scenario clothing retrieval.  ... 
doi:10.1109/cvpr.2012.6248071 dblp:conf/cvpr/LiuSLXLY12 fatcat:fioqgkzmuvfujfp33nmfutbbym


2020 International journal of engineering sciences & research technology  
In the proposed work, we have developed a new system that can retrieve the images from a dataset on the basis of contents of the query image.  ...  It exploits methods from computer vision, image retrieval, image processing, data mining, machine learning, database, and artificial intelligence.  ...  Content-Based Image Retrieval (CBIR) is the way toward recovering pictures from a database on the ground of components that are removed consequently from the pictures themselves.  ... 
doi:10.29121/ijesrt.v9.i10.2020.5 fatcat:onxv6xj5brf7dheccvq3rmvrvq

Medical Case Retrieval From a Committee of Decision Trees

G Quellec, M Lamard, L Bekri, G Cazuguel, C Roux, B Cochener
2010 IEEE Transactions on Information Technology in Biomedicine  
A novel content-based information retrieval framework, designed to cover several medical applications, is presented in this paper.  ...  On DRD for instance, it increases by half the retrieval of single images.  ...  Moreover, each time he/she inputs an attribute, a second procedure identifies the remaining attributes likely to be the most discriminant; in other words, a fast path towards satisfactory results is suggested  ... 
doi:10.1109/titb.2010.2053716 pmid:20813626 fatcat:djrpf2bxprhpzmx3ox4hhaqmtu
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