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Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method
Multimedia information requires large repositories of audio-video data. Retrieval and delivery of video content is a very time-consuming process and is a great challenge for researchers. An efficient approach for faster browsing of large video collections and more efficient content indexing and acce...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512311/ https://www.ncbi.nlm.nih.gov/pubmed/33265837 http://dx.doi.org/10.3390/e20100748 |
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author | Saqib, Shazia Kazmi, Syed Asad Raza |
author_facet | Saqib, Shazia Kazmi, Syed Asad Raza |
author_sort | Saqib, Shazia |
collection | PubMed |
description | Multimedia information requires large repositories of audio-video data. Retrieval and delivery of video content is a very time-consuming process and is a great challenge for researchers. An efficient approach for faster browsing of large video collections and more efficient content indexing and access is video summarization. Compression of data through extraction of keyframes is a solution to these challenges. A keyframe is a representative frame of the salient features of the video. The output frames must represent the original video in temporal order. The proposed research presents a method of keyframe extraction using the mean of consecutive k frames of video data. A sliding window of size [Formula: see text] is employed to select the frame that matches the median entropy value of the sliding window. This is called the Median of Entropy of Mean Frames (MME) method. MME is mean-based keyframes selection using the median of the entropy of the sliding window. The method was tested for more than 500 videos of sign language gestures and showed satisfactory results. |
format | Online Article Text |
id | pubmed-7512311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75123112020-11-09 Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method Saqib, Shazia Kazmi, Syed Asad Raza Entropy (Basel) Article Multimedia information requires large repositories of audio-video data. Retrieval and delivery of video content is a very time-consuming process and is a great challenge for researchers. An efficient approach for faster browsing of large video collections and more efficient content indexing and access is video summarization. Compression of data through extraction of keyframes is a solution to these challenges. A keyframe is a representative frame of the salient features of the video. The output frames must represent the original video in temporal order. The proposed research presents a method of keyframe extraction using the mean of consecutive k frames of video data. A sliding window of size [Formula: see text] is employed to select the frame that matches the median entropy value of the sliding window. This is called the Median of Entropy of Mean Frames (MME) method. MME is mean-based keyframes selection using the median of the entropy of the sliding window. The method was tested for more than 500 videos of sign language gestures and showed satisfactory results. MDPI 2018-09-29 /pmc/articles/PMC7512311/ /pubmed/33265837 http://dx.doi.org/10.3390/e20100748 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Saqib, Shazia Kazmi, Syed Asad Raza Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title | Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title_full | Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title_fullStr | Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title_full_unstemmed | Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title_short | Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method |
title_sort | video summarization for sign languages using the median of entropy of mean frames method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512311/ https://www.ncbi.nlm.nih.gov/pubmed/33265837 http://dx.doi.org/10.3390/e20100748 |
work_keys_str_mv | AT saqibshazia videosummarizationforsignlanguagesusingthemedianofentropyofmeanframesmethod AT kazmisyedasadraza videosummarizationforsignlanguagesusingthemedianofentropyofmeanframesmethod |