Comfortable perception mining in videos using fuzzy logic

S. Jeeva, V. Saranya
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Abstract

In this paper a fuzzy based approach is used for Effective retrieval of video. Initially a video is partitioned into frames and then we use fuzzy logic method in order to retrieve a video. While existing search engines like Google and yahoo provide a video retrieving through manual textual queries. We provide an advanced concept of giving a relevant image as an input in order to rescue the video. While text based queries uses color histograms our concept makes great advantage of fuzzy logic in order to provide an accurate result.
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基于模糊逻辑的视频舒适感知挖掘
本文提出了一种基于模糊的视频检索方法。首先对视频进行帧分割,然后利用模糊逻辑方法对视频进行检索。而现有的搜索引擎,如谷歌和雅虎,通过手动文本查询提供视频检索。我们提供了一个先进的概念,给予相关的图像作为输入,以挽救视频。虽然基于文本的查询使用颜色直方图,但我们的概念充分利用了模糊逻辑,以提供准确的结果。
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