Paper
25 October 2004 Photo sorting and compression in frequency domain
Yang Lu, Tien-Tsin Wong, Pheng-Ann Heng
Author Affiliations +
Proceedings Volume 5600, Multimedia Systems and Applications VII; (2004) https://doi.org/10.1117/12.571207
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Lu, Tien-Tsin Wong, and Pheng-Ann Heng "Photo sorting and compression in frequency domain", Proc. SPIE 5600, Multimedia Systems and Applications VII, (25 October 2004); https://doi.org/10.1117/12.571207
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KEYWORDS
Digital photography

Digital cameras

Image analysis

Image compression

Image processing

Photography

Feature extraction

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