Pappas Delivers Plenary Address at SPIE Optics + Photonics 2015 Symposium

His presentation on Tuesday, August 11, 2015 in San Diego, CA, is titled, "Visual Signal Analysis: Focus on Texture Similarity."

His presentation is on Tuesday, August 11, 2015 in San Diego, CA.

Prof. Thrasos Pappas is giving an invited plenary address at the SPIE Optics + Photonics 2015 Symposium on Tuesday, August 11, 2015 in San Diego, CA.

The topic of his presentation is titled, "Visual Signal Analysis: Focus on Texture Similarity" and will be featured in the Signal, Image, and Data Processing Plenary Session.

SPIE Optics + Photonics 2015, is the largest international, multidisciplinary optical sciences and technology meeting in North America. The conference where the latest research in optical engineering and applications, sustainable energy, nanotechnology, organic photonics, and astronomical instrumentation is presented.

Talk Abstract: The focus of this talk will be on texture analysis. Texture is an important visual attribute both for human perception and image analysis systems. We present new structural texture similarity metrics and applications that critically depend on such metrics, with emphasis on image compression and content-based retrieval. The new metrics account for human visual perception and the stochastic nature of textures. They rely entirely on local image statistics and allow substantial point-by-point deviations between textures that according to human judgment are similar or essentially identical. We also present new testing procedures for objective texture similarity metrics. We identify three operating domains for evaluating the performance of such similarity metrics: the top of the similarity scale, where a monotonic relationship between metric values and subjective scores is desired; the ability to distinguish between perceptually similar and dissimilar textures; and the ability to retrieve "identical" textures. Each domain has different performance goals and requires different testing procedures. Experimental results demonstrate both the performance of the proposed metrics and the effectiveness of the proposed subjective testing procedures.

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