2010natural scenes Lecture 7

2010natural scenes Lecture 7 - The visual system as an...

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1 The visual system as an optimal code for the natural world Understanding compression JPEG compression Excited by light Inhibited by light The receptive field The receptive field
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2 Neurons with various degrees of invariance Inferotemporal cortex: Selective to faces but considerable position size, shading invariance Area V1: Complex cells are selective to orientation and bar with but locally invariant to position. Quiroga, Reddy Kreiman, Koch, Fried(2005) Medial Temporal lobe neurons selective to Jennifer Anniston (also Halle Berry) Excited by light Inhibited by light The receptive field
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3 Greatest illusion? Extremely different Extremely similar Two reasons a compression algorithm can be successful 1. The algorithm takes advantage of the redundancy of the data. 2. It sends only the information coded by the observer Lossless versus lossy compression Lossless - removes redundancy but loses no information (allows perfect reconstruction) Any form of prediction in a data set allows some lossless compression What is meant by bits / pixel? Lossless versus lossy compression Lossless - removes redundancy but loses no information (allows perfect reconstruction) Lossy - removes structure that is hopefully invisible to the visual system What is meant by bits / pixel? The visual system may be near to optimal coding the statistical structure of the natural world. Optimal compression must match the statistical structure of the world and match the image coding ability of the observer.
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