demonstration

Scenique: a multimodal image retrieval interface

Authors:

Ilaria Bartolini,

Paolo CiacciaAuthors Info & Claims

AVI '08: Proceedings of the working conference on Advanced visual interfaces

Pages 476 - 477

https://doi.org/10.1145/1385569.1385664

Published: 28 May 2008 Publication History

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Abstract

Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies only on keywords (or tags), either derived from the image context or user-provided annotations. In this demo we present Scenique, a multimodal image retrieval system that provides the user with two basic facilities: 1) an image annotator, that is able to predict keywords for new (i.e., unlabelled) images, and 2) an integrated query facility that allows the user to search for images using both visual features and tags, possibly organized in semantic dimensions. We demonstrate the accuracy of image annotation and the improved precision that Scenique obtains with respect to querying with either only features or keywords.

References

[1]

I. Bartolini and P. Ciaccia. Imagination: Accurate Image Annotation Using Link-analysis Techniques. In AMR 2007, Paris, France, July 2007.

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[2]

R. Fagin, R. V. Guha, R. Kumar, J. Novak, D. Sivakumar, and A. Tomkins. Multi-structural Databases. In PODS 2005, Baltimore, USA, June 2005.

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Khan ODuane AHasnan HBlavec NOuvrard PVerdon Jd’Orazio LThierry CJónsson B(2025)Multi-Dimensional Exploration of Media Collection MetadataMultiMedia Modeling10.1007/978-981-96-2074-6_18(165-172)Online publication date: 1-Jan-2025
https://doi.org/10.1007/978-981-96-2074-6_18
Cárdenas-López HZatarain-Cabada RBarrón-Estrada MMitre-Hernández H(2023)Semantic fusion of facial expressions and textual opinions from different datasets for learning-centered emotion recognitionSoft Computing10.1007/s00500-023-08076-127:22(17357-17367)Online publication date: 21-Apr-2023
https://doi.org/10.1007/s00500-023-08076-1
Tan YYang CWei XChen CLi LZheng X(2022)Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00093(1180-1192)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00093
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Index Terms

Scenique: a multimodal image retrieval interface
1. Information systems
  1. Information retrieval
    1. Document representation
    2. Retrieval models and ranking
  2. Information systems applications
    1. Multimedia information systems
      1. Multimedia databases
2. Theory of computation
  1. Semantics and reasoning
    1. Program reasoning
      1. Abstraction

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Published In

AVI '08: Proceedings of the working conference on Advanced visual interfaces

May 2008

483 pages

ISBN:9781605581415

DOI:10.1145/1385569

General Chair:
Stefano Levialdi
Sapienza, Università di Roma, Roma, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 28 May 2008

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AVI '08: The International Conference on Advanced Visual Interfaces

May 28 - 30, 2008

Napoli, Italy

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Khan ODuane AHasnan HBlavec NOuvrard PVerdon Jd’Orazio LThierry CJónsson B(2025)Multi-Dimensional Exploration of Media Collection MetadataMultiMedia Modeling10.1007/978-981-96-2074-6_18(165-172)Online publication date: 1-Jan-2025
https://doi.org/10.1007/978-981-96-2074-6_18
Cárdenas-López HZatarain-Cabada RBarrón-Estrada MMitre-Hernández H(2023)Semantic fusion of facial expressions and textual opinions from different datasets for learning-centered emotion recognitionSoft Computing10.1007/s00500-023-08076-127:22(17357-17367)Online publication date: 21-Apr-2023
https://doi.org/10.1007/s00500-023-08076-1
Tan YYang CWei XChen CLi LZheng X(2022)Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00093(1180-1192)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00093
Wu JYu TLi SShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex ScenesProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475366(2103-2111)Online publication date: 17-Oct-2021
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Shin JWaldau ADuane AJónsson BGurrin CSchoeffmann KJónsson BDang-Nguyen DLokoč JTran MHürst WRossetto LHealy G(2021)PhotoCube at the Lifelog Search Challenge 2021Proceedings of the 4th Annual on Lifelog Search Challenge10.1145/3463948.3469073(59-63)Online publication date: 21-Aug-2021
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Bartolini I(2018)Image QueryingEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_1440(1778-1783)Online publication date: 7-Dec-2018
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Bartolini ICiaccia PPatella M(2017)Multimedia, Similarity, and Preferences: Adding Flexibility to Your Information NeedsA Comprehensive Guide Through the Italian Database Research Over the Last 25 Years10.1007/978-3-319-61893-7_8(127-141)Online publication date: 31-May-2017
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Alghamdi RTaileb MAmeen M(2014)A new multimodal fusion method based on association rules mining for image retrievalMELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference10.1109/MELCON.2014.6820584(493-499)Online publication date: Apr-2014
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Alghamdi RTaileb M(2014)Towards Semantic Image Retrieval Using Multimodal Fusion with Association Rules MiningHuman Interface and the Management of Information. Information and Knowledge Design and Evaluation10.1007/978-3-319-07731-4_41(407-418)Online publication date: 2014
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