learning image features to encode visual information (life-vision)

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LEARNING IMAGE FEATURES TO ENCODE VISUAL INFORMATION (LIFE-VISION) Kick-off meeting 28/01/2013

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LEARNING IMAGE FEATURES TO ENCODE VISUAL INFORMATION (LIFE-VISION). Kick-off meeting 28/01/2013. VISUALLY LOSSLESS CODING. Visibility thresholds. LIFE-VISION. VISUALLY LOSSLESS CODING. Visibility thresholds. LIFE-VISION. VISUALLY LOSSLESS CODING. Visibility thresholds. LIFE-VISION. - PowerPoint PPT Presentation

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Page 1: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

LEARNING IMAGE FEATURES TO ENCODE VISUAL INFORMATION

(LIFE-VISION)

Kick-off meeting28/01/2013

Page 2: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Visibility thresholds

Page 3: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Visibility thresholds

Page 4: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Visibility thresholds

Page 5: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Visibility thresholds

Page 6: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Visibility thresholds

Page 7: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

VISUALLY LOSSLESS CODING

LIFE-VISION

Current methods: focused on the encoding process

JPEG2000 codestream

Research purpose: extract a visually lossless image from a JPEG2000 codestream

Page 8: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

Page 9: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

uniform scalar deadzone quantization (USDQ)

0 W

Page 10: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

bitplane coding (BPC)

0 Wemit 0 emit 1

Page 11: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

bitplane coding (BPC)

0 W0 1 0 1

Page 12: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

bitplane coding (BPC)

0 W0 10 10 10 1

WHY IS USDQ+BPC SO POPULAR ?

1) is convenient for current hardware2) achieves competitive coding performance3) many works aimed to improve efficiency

IS USDQ+BPC OPTIMAL FOR LOSSY IMAGE CODING ?

Page 13: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

0 W

T1

emit 0 emit 1

GENERAL EMBEDDED QUANTIZATION (GEQ)

Page 14: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

0 W

T1

0 1

T2

GENERAL EMBEDDED QUANTIZATION (GEQ)

Page 15: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

0 W

T1 T2

0 1

T3

GENERAL EMBEDDED QUANTIZATION (GEQ)

Page 16: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

0 W

GENERAL EMBEDDED QUANTIZATION (GEQ)

Page 17: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

0 W

different thresholds: /W

quantizers with K stages: )!/(! K

GENERAL EMBEDDED QUANTIZATION (GEQ)

Page 18: LEARNING IMAGE FEATURES TO  ENCODE VISUAL INFORMATION (LIFE-VISION)

EMBEDDED QUANTIZATION

LIFE-VISION

0 W

GENERAL EMBEDDED QUANTIZATION (GEQ)

0 W

different thresholds: /W

quantizers with K stages: )!/(! K

Example:

200W1

3K 4K 5K 6K610 7.9 910 1.5 910 304.3 1210 59.3