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  4. Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems
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Category: Multimedia B Projects
By MTech Projects
MTech Projects
31.Jan
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Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems

ABSTRACT:

Depth video coding is an essential part of 3-D video processing systems. Specifically, object boundary regions are important in depth video coding since these regions significantly affect the visual quality of a synthesized view. In this paper, we propose an efficient depth video coding method to determine precise intra prediction modes and thereby reduce the loss of boundary information. To achieve this objective, we analyze and exploit statistical and geometric characteristics of the depth video. Experimental results subsequently show that the proposed method performs better than the original intra prediction of H.264/AVC in terms of bit savings and rendering quality.

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  • A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters
  • Hidden-Concept Driven Multilabel Image Annotation and Label Ranking
  • Interactive Video Indexing With Statistical Active Learning
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  • A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection
  • Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos
  • Parallel Lasso for Large-Scale Video Concept Detection
  • QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks
  • Summarizing Rushes Videos by Motion, Object, and Event Understanding
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Previous article: Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum Next article: Efficient Video Coding Using Legacy Algorithmic Approaches Efficient Video Coding Using Legacy Algorithmic Approaches
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