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Proceedings Paper

Photo sorting and compression in frequency domain
Author(s): Yang Lu; Tien-Tsin Wong; Pheng-Ann Heng
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Paper Abstract

With the increasing popularity of digital camera, organizing and managing the large collection of digital photos effectively are therefore required. In this paper, we study the photo album sorting, clustering and compression techniques in DCT frequency domain without having to decompress JPEG photos into spatial domain firstly. We utilize the first several non-zero DCT coefficients to build our feature set and calculate the energy histograms in frequency domain directly. We then calculate the similarity distance of every two photos, and perform photo album sorting and adaptive clustering algorithms to group the most similar photos together. We further compress those clustered photos by a MPEG-like algorithm with variable IBP frames and adaptive search windows. Our methods provide a compact and reasonable format for people to store and transmit their large number of digital photos. Experiments prove that our algorithm is efficient and effective for digital photo processing.

Paper Details

Date Published: 25 October 2004
PDF: 10 pages
Proc. SPIE 5600, Multimedia Systems and Applications VII, (25 October 2004); doi: 10.1117/12.571207
Show Author Affiliations
Yang Lu, The Chinese Univ. of Hong Kong (Hong Kong China)
Tien-Tsin Wong, The Chinese Univ. of Hong Kong (Hong Kong China)
Pheng-Ann Heng, The Chinese Univ. of Hong Kong (Hong Kong China)

Published in SPIE Proceedings Vol. 5600:
Multimedia Systems and Applications VII
Chang Wen Chen; C.-C. Jay Kuo; Anthony Vetro, Editor(s)

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