Semantic video object segmentation for content-based multimedia applications
By: by Ju Guo, C.-C. Jay Kuo.
Contributors: Kuo, C.-C. Jay
Series: Kluwer international series in engineering and computer science -- SECS 639
Publisher: Kluwer Academic Publishers
Published: 2001
Place of publication: Boston
Language: eng
Number of pages: 106
Subjects: Multimedia systems.; Digital video.
Notes: Includes bibliographical references and index.
Table of contents: value: Machine generated contents note: 1. INTRODUCTION 1; value: 1. Significance of the Research 1; value: 2. Background of the Research 2; value: 3. Contributions of the Research 4; value: 3.1 Color Feature 4; value: 3.2 Automatic Segmentation Algorithm 4; value: 3.3 Interactive Semantic Object Segmentation 5; value: 3.4 Temporal and Region-adaptive Processing 6; value: 3.5 Object Shape Postprocessing 6; value: 4. Outline of the Monograph 6; value: 2. REVIEW OF PREVIOUS WORK 9; value: 1. Change Detection 9; value: 2. Motion Segmentation 11; value: 2.1 Motion Model 11; value: 2.2 Previous Work in Motion Segmentation 14; value: 3. Spatial and Temporal Segmentation 15; value: 3.1 Spatial Segmentation Techniques 15; value: 3.2 Three Segmentation Proposals in MPEG4 17; value: 3.3 Other Combinations of Spatial; value: and Temporal Segmentation 18; value: 4. User Interactive Segmentation 20; value: 4.1 Motivation 20; value: 4.2 Category of User Interaction 21; value: 4.3 Efficiency of User Interaction 22; value: 4.4 Previous Work 23; value: 5. Evaluation of Segmentation Quality 26; value: 3. AUTOMATIC SEGMENTATION 29; value: 1. Video Segmentation With Color and Motion 29; value: 2. Color-based Spatial Segmentation 31; value: 3. Motion Tracking and Spatial-Temporal Integration 32; value: 4. Experimental Results 35; value: 4.1 Subjective Evaluation 35; value: 4.2 Objective Evaluation 36; value: 4. OBJECT SHAPE POSTPROCESSING 45; value: 1. Proposed Algorithm for Coding Optimization 45; value: 2. Shape Coding Optimization 46; value: 3. Experimental Results 47; value: 5. INTERACTIVE SEGMENTATION ALGORITHMS 53; value: 1. Description of the SIVOG System 54; value: 1.1 System Overview 54; value: 1.2 User Interface 55; value: 1.3 Smart-processing Kernel 56; value: 1.4 Temporal Tracking of Rigid Objects 57; value: 1.5 Boundary Update for Non-rigid Objects 59; value: 1.6 User Correction and Update 63; value: 1.7 System Evaluation 64; value: 2. Experimental Results 64; value: 2.1 Rigid Object Segmentation 64; value: 2.2 Non-rigid Object Segmentation 66; value: 6. TEMPORAL AND SPATIAL; value: ADAPTIVE PROCESSING 75; value: 1. Introduction 75; value: 2. Description of the SIVOG System 76; value: 2.1 Semantic User Interaction 76; value: 2.2 Smart Processing kernel 76; value: 3. Region and Temporal Adaptive Processing 79; value: 3.1 Region Selection 79; value: 3.2 Temporal Skipping and Interpolation 82; value: 4. Experimental Results 87; value: 4.1 System Efficiency 87; value: 4.2 System Accuracy 88; value: 7. SUMMARY AND FUTURE WORK 95; value: 1. Future Work 96; value: 1.1 Texture Segmentation 96; value: 1.2 Model-based Segmentation Algorithm 96; value: 1.3 Object Postprocessing 96; value: 1.4 Evaluation of User's Effort 97.