Incorporate Spatial Information into pLSA for Scene Classification

  • Fei Huang
  • Xiaojun Jing
  • Songlin Sun
  • Yueming Lu
Part of the Communications in Computer and Information Science book series (CCIS, volume 320)


pLSA has been successfully used in scene classification as an intermediate representation of images, but it didn’t utilize the spatial information of an image which is important for scene classification tasks. To improve the accuracy of classification, we proposed a new method which incorporates spatial information coming from neighbor words and topics’ position into pLSA. Finally, an image can be represented by the position distribution of each latent topic, and subsequently, we train a classifier on the topics’ position distribution vector for each image. Besides, the traditional fold-in heuristic way of pLSA is not necessary and more sophisticated supervised pLSA can be adopted when our no-fold-in way is used, whichalso givesan accuracy improvement.


scene classification pLSA spatial information 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Fei Huang
    • 1
    • 2
  • Xiaojun Jing
    • 1
    • 2
  • Songlin Sun
    • 1
    • 2
  • Yueming Lu
    • 1
    • 2
  1. 1.School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Key Laboratory of Trustworthy Distributed Computing and Service(BUPT)Ministry of EducationBeijingChina

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