کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383687 660829 2012 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A similarity measure between videos using alignment, graphical and speech features
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A similarity measure between videos using alignment, graphical and speech features
چکیده انگلیسی

A novel video similarity measure is proposed by using visual features, alignment distances and speech transcripts. First, video files are represented by a sequence of segments each of which contains colour histograms, starting time, and a set of phonemes. After, textual, alignment and visual features are extracted of these segments. The following step, bipartite matching and statistical features are applied to find correspondences between segments. Finally, a similarity is calculated between videos. Experiments have been carried out and promising results have been obtained.


► We design a video similarity measure combining speech, alignment and visual features.
► The similarity measure is based on video segments instead of video frames.
► The particular combination of the descriptors can be crucial for different comparisons.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 11, 1 September 2012, Pages 10278–10282
نویسندگان
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