HEVC流显著性提取:FIT与信息论原理的协同作用

Marwa Ammar, M. Mitrea, Ismail Boujelbane
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引用次数: 0

摘要

本文研究了一种流行的显著性提取方法- FIT(特征集成理论)与源编码原理之间的潜在协同作用。通过结合这两种方法,定义了一个新的显著性模型,直接在HEVC蒸汽语法元素级别提取。实验将新模型与眼球追踪设备捕捉到的人类显著性进行了对比。他们考虑了一个代表密度固定图的参考语料库,两个客观标准,两个客观测量和7个最先进的显著性模型(3个作用于像素域,4个作用于压缩域)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HEVC stream saliency extraction: Synergies between FIT and information theory principles
The present paper studies the potential synergies between a popular approach in saliency extraction — FIT (feature integration theory) and source coding principles. By combining these two approaches, a new saliency model, extracted directly at the HEVC steam syntax elements level is defined. The experiments confront the new model to the human saliency, captured by eye-tracking devices. They consider a reference corpus representing density fixation maps, two objective criteria, two objective measures and 7 state-of-the-art saliency models (3 acting in pixel domain and 4 acting in compressed domain).
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