Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval

Yan Zhou, Fan-Zhi Zeng, Hui-min Zhao, Paul Murray, Jinchang Ren

Research output: Contribution to journalSpecial issuepeer-review

27 Citations (Scopus)
119 Downloads (Pure)


Content-based image retrieval (CBIR) has been an active research theme in the computer vision community for over two decades. While the field is relatively mature, significant research is still required in this area to develop solutions for practical applications. One reason that practical solutions have not yet been realized could be due to a limited understanding of the cognitive aspects of the human vision system. Inspired by three cognitive properties of human vision, namely, hierarchical structuring, color perception and embedded compressive sensing, a new CBIR approach is proposed. In the proposed approach, the Hue, Saturation and Value (HSV) color model and the Similar Gray Level Co-occurrence Matrix (SGLCM) texture descriptors are used to generate elementary features. These features then form a hierarchical representation of the data to which a two-dimensional compressive sensing (2D CS) feature mining algorithm is applied. Finally, a weighted feature matching method is used to perform image retrieval. We present a comprehensive set of results of applying our proposed Hierarchical Visual Perception Enabled 2D CS approach using publicly available datasets and demonstrate the efficacy of our techniques when compared with other recently published, state-of-the-art approaches.
Original languageEnglish
Number of pages13
JournalCognitive Computation
Early online date8 Aug 2016
Publication statusE-pub ahead of print - 8 Aug 2016


  • hierarchical visual perception
  • two-dimensional compressive sensing
  • content-based image retrieval
  • image matching
  • human vision
  • cognitive abilities
  • hierarchical structuring
  • color perception
  • colour perception
  • embedded compressed sensing


Dive into the research topics of 'Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval'. Together they form a unique fingerprint.

Cite this