Alatan, A. A.Onural, L.2016-02-082016-02-081998-061057-7149http://hdl.handle.net/11693/25351Intensity prediction along motion trajectories removes temporal redundancy considerably in video compression algorithms. In three-dimensional (3-D) object-based video coding, both 3-D motion and depth values are required for temporal prediction. The required 3-D motion parameters for each object are found by the correspondence-based E-matrix method. The estimation of the correspondences - two-dimensional (2-D) motion field - between the frames and segmentation of the scene into objects are achieved simultaneously by minimizing a Gibbs energy. The depth field is estimated by jointly minimizing a defined distortion and bitrate criterion using the 3-D motion parameters. The resulting depth field is efficient in the rate-distortion sense. Bit-rate values corresponding to the lossless encoding of the resultant depth fields are obtained using predictive coding; prediction errors are encoded by a Lempel-Ziv algorithm. The results are satisfactory for real-life video scenes.English3-D motion3-D structureDense depth estimationDepth encodingMotion analysisObject-based video codingRate-distortion theoryAlgorithmsGibbs free energyImage analysisImage codingImage qualityImage segmentationMatrix algebraObject recognitionSignal distortionThree dimensional computer graphicsDense depth estimationRate distortion theoryImage compressionArticle10.1109/83.679440