On the convergence of image compression and object recognition.
Mark S. SchmalzPublished in: ACM Southeast Regional Conference (2) (2005)
Keyphrases
- image compression
- object recognition
- vector quantization
- computer vision
- low bit rate
- reconstructed image
- compression scheme
- subband
- compression ratio
- compression algorithm
- image representation
- wavelet transform
- image understanding
- convergence rate
- scene classification
- template matching
- d objects
- natural images
- visual recognition
- faster convergence
- data sets
- image processing
- convergence speed
- model construction
- visual object recognition
- biologically motivated
- compressed images
- discrete cosine transform
- image features
- object categories
- graph matching
- progressive transmission
- viewpoint
- image transmission
- entropy coding
- iterative algorithms
- object detection
- image classification