Semantic segmentation of images exploiting DCT based features and random forest

Keyphrases

• Semantic Segmentation 100%
• Image Segmentation 100%
• Discrete Cosine Transform 100%
• Random Forest 100%
• Class-specific 33%
• State-of-the-art Techniques 33%
• Texture Information 33%
• Quantized Data 33%
• Forest-based 33%
• Segmentation Accuracy 33%
• Filter Bank 33%
• CamVid 33%
• Semantic Texton Forest 33%
• Multi-feature 33%
• Complementary Features 33%
• Color Information 33%
• Specific Image 33%
• Complex Texture 33%
• Popular 33%
• Computationally Efficient 33%

Computer Science

• Discrete Cosine Transform 100%
• Random Decision Forest 100%
• Image Segmentation 100%
• Texture Information 25%
• Color Information 25%
• Frequency Domain 25%
• segmentation accuracy 25%
• Filter Bank 25%