کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
383687 | 660829 | 2012 | 5 صفحه PDF | دانلود رایگان |

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.
Journal: Expert Systems with Applications - Volume 39, Issue 11, 1 September 2012, Pages 10278–10282