Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16463
Title: An adaptive texture-depth rate allocation estimation technique for low latency multi-view video plus depth transmission
Authors: Cordina, Mario
Debono, Carl James
Keywords: Signal processing
Video compression
Estimation theory
Regression analysis
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Cordina, M., & Debono, C. J. (2013). An adaptive texture-depth rate allocation estimation technique for low latency multi-view video plus depth transmission. Visual Communications and Image Processing (VCIP), Kuching. 1-6.
Abstract: This paper presents an adaptive texture-depth target bit rate allocation estimation technique for low latency multi-view video plus depth transmission using a multi-regression model. The proposed technique employs the prediction mode distribution of the macroblocks at the discontinuity regions of the depth map video to estimate the optimal texture-depth target bit rate allocation considering the total available bit rate. This technique was tested using various standard test sequences and has shown efficacy as the model is able to estimate, in real-time, the optimal texture-depth rate allocation with an absolute mean estimation error of 2.5% and a standard deviation of 2.2%. Moreover, it allows the texture-depth rate allocation to be adapted to the video sequence with good tracking performance, allowing the correct handling of scene changes.
URI: https://www.um.edu.mt/library/oar//handle/123456789/16463
Appears in Collections:Scholarly Works - FacICTCCE

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