Rate Control Framework For SIFT/SURF Feature Preservation in H.264/AVC VideoCompression

@article{Nandhini2016RateCF,
  title={Rate Control Framework For SIFT/SURF Feature Preservation in H.264/AVC VideoCompression},
  author={R. Nandhini and M. RajBharathS},
  journal={International Journal of Innovative Research in Computer and Communication Engineering},
  year={2016},
  volume={2016},
  pages={47-51}
}
  • R. Nandhini, M. RajBharathS
  • Published 2016
  • Computer Science
  • International Journal of Innovative Research in Computer and Communication Engineering
A rate control framework for H.264/AVC based video coding is used to improve the gradient based features to increase Scale-Invariant Features Transform (SIFT) and Speeded up Robust Feature (SURF). In this, increased performance according to the Bag-of-features (BoFs) concept and also an improves Macro block (MB) categorization approach is carried out. First different QP values for each group is calculated and then the matching scores are collected as a function of the quantization parameters… Expand

References

SHOWING 1-10 OF 11 REFERENCES
Coding Visual Features Extracted From Video Sequences
  • 50
  • PDF
Girod,”Inter-frame coding of canonical patches for low bit-rate mobile augmented reality,
  • Int. J. Semantic Computers.,
  • 2013
On the design of a novel JPEG quantization table for improved feature detection performance
  • 32
  • PDF
Optimizing JPEG quantization table for low bit rate mobile visual search
  • 26
Region-Based Rate Control for H.264/AVC for Low Bit-Rate Applications
  • 39
  • PDF
SIFT feature-preserving bit allocation for H.264/AVC video compression
  • 12
  • PDF
SSIM-Based Perceptual Rate Control for Video Coding
  • 98
Region-of-interest based rate control scheme with flexible quality on demand
  • 26
Compression of image patches for local feature extraction
  • 45
  • PDF
Image quality assessment: from error visibility to structural similarity
  • 26,418
  • PDF
...
1
2
...