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Object-Layout-Aware Image Retrieval for Personal Album Management

  • Mengyou Li
  • Zheng Song
  • Qiang Chen
  • Liang Lin
  • Zhongyang Huang
  • Shuicheng Yan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7585)

Abstract

This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout similarity of concerned objects in the query.

Using automatic object localization algorithms, we propose to index the personal album with the object positions and scales in the 2D image plane, which can reflect their layout in 3D scene and hence be used to measure the object layout similarity.

To query from the database, the users need describe their query by placing objects onto a canvas and configuring the position and scale of the objects. Then the system searches the album database and returns photos with the similar object layout. This system can facilitate people in finding the photos of which they have impression on the layout of certain objects.

Keywords

Object Layout Image Search Photo Search 

References

  1. 1.
    Zhu, L., Chen, Y., Torralba, A., Freeman, W., Yuille, A.: Latent Hierarchical Structural Learning for Object Detection. In: CVPR (2011)Google Scholar
  2. 2.
    Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The Pascal Visual Object Classes (VOC) Challenge. IJCV 88, 303–338 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mengyou Li
    • 1
    • 2
  • Zheng Song
    • 1
  • Qiang Chen
    • 1
  • Liang Lin
    • 2
  • Zhongyang Huang
    • 3
  • Shuicheng Yan
    • 1
  1. 1.National University of SingaporeSingapore
  2. 2.Sun Yat-Sen UniversityChina
  3. 3.Panasonic Singapore LaboratorySingapore

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