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An adaptive technique for content-based image retrieval

Jana Urban, Joemon M. Jose, Cornelis J. van Rijsbergen
2006 Multimedia tools and applications  
It is based on the Ostensive Model of developing information needs-a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to relevance.  ...  The ostensive approach supports content-assisted browsing through visualising the interaction by adding user-selected images to a browsing path, which ends with a set of system recommendations.  ...  Similar to the query representation in Equation 2, the new query is computed as the weighted (with the ostensive relevance weights) average of the path images in the OM.  ... 
doi:10.1007/s11042-006-0035-1 fatcat:ulwvkxvbprbftouaptvo57d7si

Interactive search in image retrieval: a survey

Bart Thomee, Michael S. Lew
2012 International Journal of Multimedia Information Retrieval  
In this article, we focus on the topic of contentbased image retrieval using interactive search techniques, i.e., how does one interactively find any kind of imagery from any source, regardless of whether  ...  We highlight trends and ideas from over 170 recent research papers aiming to capture the wide spectrum of paradigms and methods in interactive search, including its subarea relevance feedback.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s13735-012-0014-4 fatcat:gm5qzupaivcdbao437fdn6l54i

A survey on the use of relevance feedback for information access systems

IAN RUTHVEN, MOUNIA LALMAS
2003 Knowledge engineering review (Print)  
We also consider specific interfaces to relevance feedback systems and characteristics of searchers that can affect the use and success of relevance feedback systems.  ...  However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance feedback.  ...  We would also like to acknowledge the helpful suggestions made by the anonymous reviewer.  ... 
doi:10.1017/s0269888903000638 fatcat:uaenqmfjibd3hkhudvd4nj7eqa

Challenges and Prospects in Vision and Language Research [article]

Kushal Kafle, Robik Shrestha, Christopher Kanan
2019 arXiv   pre-print
We review the current state of affairs and outline a path forward.  ...  Language grounded image understanding tasks have often been proposed as a method for evaluating progress in artificial intelligence.  ...  ., 2015) , where multiple annotations are collected for each input, with the intention of capturing common variations of the ground truth answer.  ... 
arXiv:1904.09317v2 fatcat:wutjkivnevdbhfpijywmbbebxi

Supporting exploratory video retrieval tasks with grouping and recommendation

Martin Halvey, David Vallet, David Hannah, Joemon M. Jose
2014 Information Processing & Management  
Two user evaluations were carried out in order to 1) validate the new search paradigm provided by ViGOR, characterised by the grouping functionalities and 2) evaluate the usefulness of the proposed recommendation  ...  perceptions of the system and 2) that both recommendation approaches are relevant to the users at different stages of their search, showing the importance of using multi-faceted recommendations for video  ...  Candidate images for browsing are determined by an ostensive model, which encompasses a temporal profile of uncertainty.  ... 
doi:10.1016/j.ipm.2014.06.004 fatcat:3xx5v326d5c5xedts4rwfozxby

Supply management capabilities, routine bundles and their impact on firm performance

Marc Day, Scott Lichtenstein, Phillip Samouel
2015 International Journal of Production Economics  
The routines-based approach allows us to demonstrate a different, more fine-grained approach for assessing consistent bundles of homogeneous patterns of activity across firms.  ...  Using structural equation modelling we measure supply management capability empirically as a second-order latent variable and estimate its effect on a series of financial and operational performance measures  ...  We then review and discuss the results of questionnaire survey research to test the model using structural equation modelling.  ... 
doi:10.1016/j.ijpe.2015.02.023 fatcat:bxvng6vcanb7xg2syxf74yof3a

Challenges and Prospects in Vision and Language Research

Kushal Kafle, Robik Shrestha, Christopher Kanan
2019 Frontiers in Artificial Intelligence  
However, the datasets and evaluation procedures used in these tasks are replete with flaws which allows the vision and language (V&L) algorithms to achieve a good performance without a robust understanding  ...  Language grounded image understanding tasks have often been proposed as a method for evaluating progress in artificial intelligence.  ...  ACKNOWLEDGMENTS We thank Manoj Acharya, Ryne Roady, and Tyler Hayes for comments and review of this paper.  ... 
doi:10.3389/frai.2019.00028 pmid:33733117 pmcid:PMC7861287 fatcat:kzbt6blr2nbedep5tgqgzaicru

Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges [article]

Maxine Eskenazi, Tiancheng Zhao
2020 arXiv   pre-print
This USER Workshop was convened with the goal of defining future research directions for the burgeoning intelligent agent research community and to communicate them to the National Science Foundation.  ...  Any opinions, findings and conclusions or future directions expressed in this document are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ...  tools, human evaluation platform etc. • A principled approach for system design, data collection, resources management, and evaluation for new AI projects with limited/no data • New machine learning methods  ... 
arXiv:2006.06026v1 fatcat:h2hbe4cr6vajvca4oqkfrmf5oa

Adaptive Systems for Multimedia Information Retrieval [chapter]

Gareth J. F. Jones
2004 Lecture Notes in Computer Science  
The suitability of the solutions developed within these systems is currently being explored in the annual TRECVID evaluation workshops which enable researchers to test their indexing and retrieval algorithms  ...  Prototype multimedia information retrieval systems are currently being developed which enable the exploration of both the user interaction and technical issues.  ...  Acknowledgements I am grateful to members of the CDVP at DCU for discussing latest developments in Fischlár, and Cathal Gurrin for supplying the images used in this paper.  ... 
doi:10.1007/978-3-540-25981-7_1 fatcat:vdvqw7gjhjc57pwqecwckaqr2e

Interaction vs. observation: distinctive modes of social cognition in human brain and behavior? A combined fMRI and eye-tracking study

Kristian Tylén, Micah Allen, Bjørk K. Hunter, Andreas Roepstorff
2012 Frontiers in Human Neuroscience  
lobus, regions normally associated with Theory of Mind and with the mirror neuron system.  ...  Human cognition has usually been approached on the level of individual minds and brains, but social interaction is a challenging case.  ...  ACKNOWLEDGMENTS We would like to thank the two reviewers for their constructive comments and in particular for the suggestion of including pupillometry in the analysis.  ... 
doi:10.3389/fnhum.2012.00331 pmid:23267322 pmcid:PMC3525956 fatcat:au4g56bnevfqzd35pox2dj2wq4

Effects of Usage-Based Feedback on Video Retrieval

David Vallet, Frank Hopfgartner, Joemon M. Jose, Pablo Castells
2011 ACM Transactions on Information Systems  
Our model is designed to capture the complex interactions of a user with an interactive video retrieval system, including the representation of sequences of user-system interaction during a search session  ...  In addition, there is a more comprehensive evaluation, with an extended test bed and the investigation on the effect of the quality and quantity of the available usage information.  ...  The best performing variations of both the query and the document neighbourhood approaches are using the overall relevance re-ranking and the ostensive model approach.  ... 
doi:10.1145/1961209.1961214 fatcat:lshdfvddxvac7mjcnymjsby7dq

Usage based effectiveness measures

Leif Azzopardi
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
interface) as well as how the application is used by the user (i.e. how the user interacts with the system through the interface).  ...  To illustrate the difference and the utility of this approach, we demonstrate how a new suite of usage based effectiveness measures can be applied.  ...  Acknowledgements: I would like to thank Mark Baillie for his help in the initial stages of this work and suggestions on modeling performance (which we did not manage to fully develop here).  ... 
doi:10.1145/1645953.1646034 dblp:conf/cikm/Azzopardi09 fatcat:4mtqneg3bjgonl6rxis5quxmxi

Bridging the gap between expert and novice users for video search

Martin Halvey, Joemon M. Jose
2012 International Journal of Multimedia Information Retrieval  
In our evaluation participants were given a number of video search tasks and were asked to find relevant videos using two different interfaces: the first interface required users to use background knowledge  ...  However, it was also found that the perceptions of novice users, even with additional background knowledge, of the tools, collection and performance do not always match that of the expert users.  ...  Candidate images for browsing are determined by an ostensive model, which encompasses a temporal profile of uncertainty.  ... 
doi:10.1007/s13735-012-0007-3 fatcat:3mfbnrdqevh6xbwj3hkht34jwq

Adaptive relevance feedback for large-scale image retrieval

Nicolae Suditu, François Fleuret
2015 Multimedia tools and applications  
Then, we sampled uniformly a small collection of 33,000 images (i.e. 3% of the large collection), and another one of 60,000 images (i.e. 6% of the large collection).  ...  We have used the ImageNet dataset as it was released in 2010 for most of our evaluations in §4-6.  ...  probabilistic model of their interactions with the system.  ... 
doi:10.1007/s11042-015-2610-9 fatcat:v3gmot2r3rbmdnqc5lmdyu6w5y

Collective narcissism moderates the effect of in-group image threat on intergroup hostility

Agnieszka Golec de Zavala, Aleksandra Cichocka, Irena Iskra-Golec
2013 Journal of Personality and Social Psychology  
The link between collective narcissism and retaliatory intergroup hostility under in-group image threat was found in the context of national identity and international relations and in the context of a  ...  Results of four experiments demonstrated that under in-group image threat collective narcissism predicts retaliatory intergroup hostility.  ...  Study 2 used a method of manipulating in-group criticism vs. praise similar to that used in Study 1, with participants reading a comment ostensibly made by a British foreign exchange student.  ... 
doi:10.1037/a0032215 pmid:23586408 fatcat:rm4agm33x5binf5il75gxh7w5a
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