Semantic video object segmentation for content-based multimedia applications - Info and Reading Options

"Semantic video object segmentation for content-based multimedia applications" Table Of Contents:

• 1- Machine generated contents note: 1. INTRODUCTION 1
• 2- 1. Significance of the Research 1
• 3- 2. Background of the Research 2
• 4- 3. Contributions of the Research 4
• 5- 3.1 Color Feature 4
• 6- 3.2 Automatic Segmentation Algorithm 4
• 7- 3.3 Interactive Semantic Object Segmentation 5
• 8- 3.4 Temporal and Region-adaptive Processing 6
• 9- 3.5 Object Shape Postprocessing 6
• 10- 4. Outline of the Monograph 6
• 11- 2. REVIEW OF PREVIOUS WORK 9
• 12- 1. Change Detection 9
• 13- 2. Motion Segmentation 11
• 14- 2.1 Motion Model 11
• 15- 2.2 Previous Work in Motion Segmentation 14
• 16- 3. Spatial and Temporal Segmentation 15
• 17- 3.1 Spatial Segmentation Techniques 15
• 18- 3.2 Three Segmentation Proposals in MPEG4 17
• 19- 3.3 Other Combinations of Spatial
• 20- and Temporal Segmentation 18
• 21- 4. User Interactive Segmentation 20
• 22- 4.1 Motivation 20
• 23- 4.2 Category of User Interaction 21
• 24- 4.3 Efficiency of User Interaction 22
• 25- 4.4 Previous Work 23
• 26- 5. Evaluation of Segmentation Quality 26
• 27- 3. AUTOMATIC SEGMENTATION 29
• 28- 1. Video Segmentation With Color and Motion 29
• 29- 2. Color-based Spatial Segmentation 31
• 30- 3. Motion Tracking and Spatial-Temporal Integration 32
• 31- 4. Experimental Results 35
• 32- 4.1 Subjective Evaluation 35
• 33- 4.2 Objective Evaluation 36
• 34- 4. OBJECT SHAPE POSTPROCESSING 45
• 35- 1. Proposed Algorithm for Coding Optimization 45
• 36- 2. Shape Coding Optimization 46
• 37- 3. Experimental Results 47
• 38- 5. INTERACTIVE SEGMENTATION ALGORITHMS 53
• 39- 1. Description of the SIVOG System 54
• 40- 1.1 System Overview 54
• 41- 1.2 User Interface 55
• 42- 1.3 Smart-processing Kernel 56
• 43- 1.4 Temporal Tracking of Rigid Objects 57
• 44- 1.5 Boundary Update for Non-rigid Objects 59
• 45- 1.6 User Correction and Update 63
• 46- 1.7 System Evaluation 64
• 47- 2. Experimental Results 64
• 48- 2.1 Rigid Object Segmentation 64
• 49- 2.2 Non-rigid Object Segmentation 66
• 50- 6. TEMPORAL AND SPATIAL
• 51- ADAPTIVE PROCESSING 75
• 52- 1. Introduction 75
• 53- 2. Description of the SIVOG System 76
• 54- 2.1 Semantic User Interaction 76
• 55- 2.2 Smart Processing kernel 76
• 56- 3. Region and Temporal Adaptive Processing 79
• 57- 3.1 Region Selection 79
• 58- 3.2 Temporal Skipping and Interpolation 82
• 59- 4. Experimental Results 87
• 60- 4.1 System Efficiency 87
• 61- 4.2 System Accuracy 88
• 62- 7. SUMMARY AND FUTURE WORK 95
• 63- 1. Future Work 96
• 64- 1.1 Texture Segmentation 96
• 65- 1.2 Model-based Segmentation Algorithm 96
• 66- 1.3 Object Postprocessing 96
• 67- 1.4 Evaluation of User's Effort 97.

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