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Semantic Subspace Projection and Its Applications in Image Retrieval

Published: 01 April 2008 Publication History

Abstract

One of the most challenging problems for image retrieval applications is to find the optimal mapping between high-level semantic concept and low-level features. Traditional approaches often assume that images with same semantic label share strong visual similarities and should be clustered together to facilitate modeling and classification. Our research indicates this assumption is inappropriate in many cases. Instead we model the images as lying on nonlinear image subspaces embedded in the high-dimensional feature space and find that multiple subspaces may correspond to one semantic concept. By intelligently utilizing the similarity and dissimilarity information in semantic and geometric (image) domains, we propose an optimal semantic subspace projection (SSP) that captures the most important properties of the subspaces with respect to classification. Theoretical analysis proves that the well-known linear discriminant analysis (LDA) could be formulated as a special case of SSP. To capture the semantic concept dynamically, SSP can integrate relevance feedback efficiently through incremental learning. Kernel SSP is further proposed to handle nonlinearly separable data. Extensive experiments have been designed and conducted to compare our proposed method to the state-of-the-art techniques such as LDA, locality preservation projection (LPP), local linear embedding (LLE), local discriminant embedding (LDE) and their variants. The results show the superior performance of SSP.

Cited By

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  • (2023)Rethinking Supervision in Document Unwarping: A Self-Consistent Flow-Free ApproachIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.333606834:6(4817-4828)Online publication date: 23-Nov-2023
  • (2018)Cross-media retrieval based on semi-supervised regularization and correlation learningMultimedia Tools and Applications10.1007/s11042-018-6037-y77:17(22455-22473)Online publication date: 1-Sep-2018
  • (2017)Cross-media similarity metric learning with unified deep networksMultimedia Tools and Applications10.1007/s11042-017-4726-676:23(25109-25127)Online publication date: 1-Dec-2017
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Information & Contributors

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Published In

cover image IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology  Volume 18, Issue 4
April 2008
129 pages

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IEEE Press

Publication History

Published: 01 April 2008

Author Tags

  1. Image Retrieval
  2. Image retrieval
  3. Linear Discriminant Analysis
  4. Principal Component Analysis
  5. Relevance Feedback
  6. Semantic Subspace Projection
  7. Subspace Learning
  8. linear discriminant analysis (LDA)
  9. principal component analysis
  10. relevance feedback
  11. semantic subspace projection (SSP)
  12. subspace learning

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Cited By

View all
  • (2023)Rethinking Supervision in Document Unwarping: A Self-Consistent Flow-Free ApproachIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.333606834:6(4817-4828)Online publication date: 23-Nov-2023
  • (2018)Cross-media retrieval based on semi-supervised regularization and correlation learningMultimedia Tools and Applications10.1007/s11042-018-6037-y77:17(22455-22473)Online publication date: 1-Sep-2018
  • (2017)Cross-media similarity metric learning with unified deep networksMultimedia Tools and Applications10.1007/s11042-017-4726-676:23(25109-25127)Online publication date: 1-Dec-2017
  • (2013)Web media semantic concept retrieval via tag removal and model fusionACM Transactions on Intelligent Systems and Technology10.1145/2508037.25080424:4(1-22)Online publication date: 8-Oct-2013
  • (2012)The correlation between semantic visual similarity and ontology-based concept similarity in effective web image searchProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_16(125-130)Online publication date: 11-Apr-2012
  • (2009)Learning semantic distance from community-tagged media collectionProceedings of the 17th ACM international conference on Multimedia10.1145/1631272.1631307(243-252)Online publication date: 23-Oct-2009
  • (2009)Landmark MDS ensemblePattern Recognition10.1016/j.patcog.2008.11.03942:9(2045-2053)Online publication date: 1-Sep-2009
  • (2008)Flickr distanceProceedings of the 16th ACM international conference on Multimedia10.1145/1459359.1459364(31-40)Online publication date: 26-Oct-2008

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