2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:WP-P6.5
Session:Image Coding IV
Time:Wednesday, September 19, 14:30 - 17:10
Presentation: Poster
Title: ANALYSIS OF THE DECODING-COMPLEXITY OF COMPRESSED IMAGE-BASED SCENE REPRESENTATIONS
Authors: Ingo Bauermann; Technische Universität München 
 Eckehard Steinbach; Technische Universität München 
Abstract: Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques, the degree of inter and intra block dependencies introduced during compression has an impact on the effort required to access reference image data and therefore delimits the response time for interactive applications. In this work a theoretical model for the decoding-complexity of compressed image-based scene representations is presented and evaluated. Results show the validity of the model. Additionally, results for decoding-complexity constrained rate distortion optimization (RDC) using our model show the benefit of incorporating the computational power of client devices into the compression process.



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