Description of Evolutional Changes in Image Time Sequences Using MPEG-7 Visual Descriptors

  • Lei Ye
  • Lingzhi Cao
  • Philip Ogunbona
  • Wanqing Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3893)


Colour and texture visual descriptors have been developed to represent structural features of images, mainly under the Query-by-Example (QBE) image retrieval paradigm. This paper explores applicability of MPEG-7 visual descriptors to describe and measure evolutional changes in image time sequences, using a fruit rotting process as an example. The research found that MPEG-7 visual descriptors can be applied to describe evolutional changes in image time sequences. The experimental results are provided using bananas captured in image time sequences. The results show the desirable monotonicity of description metrics of MPEG-7 similarity matching for image time sequences and their sensitivity to practical image acquisition conditions. Our experiments demonstrate that Colour Layout descriptors (CLD) and Scalable Colour descriptor (SCD) describe the changes that are consistent to the degree of visual changes while CLD and Homogeneous Texture descriptor (HTD) are more robust to variations of image data due to practical image acquisition conditions.


Image Retrieval Spatial Coherency Dominant Colour Visual Descriptor Description Metrics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lei Ye
    • 1
  • Lingzhi Cao
    • 2
  • Philip Ogunbona
    • 1
  • Wanqing Li
    • 1
  1. 1.University of WollongongAustralia
  2. 2.Zhengzhou University of Light IndustryChina

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