Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model
In this paper, we present a distributed Content- Based Video Retrieval (CBVR) system based on MapReduce pro- gramming model. A CBVR system called Bounded Coordinate of Motion Histogram (BCMH) has been implemented as case study by using Hadoop framework. Our work consists of proposing a distributed m...
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| Format: | Article |
| Language: | English |
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FRUCT
2018-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct23/files/Sao.pdf
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| _version_ | 1811256155642527744 |
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| author | El Mehdi Saoudi Abderrahmane Adoui El Ouadrhiri Othman El Warrak Said Jai Andaloussi Abderrahim Sekkaki |
| author_facet | El Mehdi Saoudi Abderrahmane Adoui El Ouadrhiri Othman El Warrak Said Jai Andaloussi Abderrahim Sekkaki |
| author_sort | El Mehdi Saoudi |
| collection | DOAJ |
| description | In this paper, we present a distributed Content- Based Video Retrieval (CBVR) system based on MapReduce pro- gramming model. A CBVR system called Bounded Coordinate of Motion Histogram (BCMH) has been implemented as case study by using Hadoop framework. Our work consists of proposing a distributed model to extract videos signatures and compute similarity with the BCMH system based on a set of Mapreduce jobs assigned to multiple nodes of the Hadoop cluster in order to reduce computation time of training process. The proposed approach is tested on HOLLYWOOD2 dataset and the obtained results demonstrate efficiency of the proposed approach. |
| first_indexed | 2024-04-12T17:35:50Z |
| format | Article |
| id | doaj.art-68f3efc6016f4cd6b31b06f2d9c9a01e |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-04-12T17:35:50Z |
| publishDate | 2018-11-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-68f3efc6016f4cd6b31b06f2d9c9a01e2022-12-22T03:22:59ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-11-0160223329334Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce ModelEl Mehdi Saoudi0Abderrahmane Adoui El Ouadrhiri1Othman El Warrak2Said Jai Andaloussi3Abderrahim Sekkaki4Hassan II University, Casablanca, MoroccoHassan II University, Casablanca, MoroccoHassan II University, Casablanca, MoroccoHassan II University, Casablanca, MoroccoHassan II University, Casablanca, MoroccoIn this paper, we present a distributed Content- Based Video Retrieval (CBVR) system based on MapReduce pro- gramming model. A CBVR system called Bounded Coordinate of Motion Histogram (BCMH) has been implemented as case study by using Hadoop framework. Our work consists of proposing a distributed model to extract videos signatures and compute similarity with the BCMH system based on a set of Mapreduce jobs assigned to multiple nodes of the Hadoop cluster in order to reduce computation time of training process. The proposed approach is tested on HOLLYWOOD2 dataset and the obtained results demonstrate efficiency of the proposed approach.https://fruct.org/publications/fruct23/files/Sao.pdf Content-Based Video Retrieval (CBVR)Distributed processingHadoop frameworkBounded Coordinate of Motion Histogram (BCMH)Similarity measurementComputation time optimization |
| spellingShingle | El Mehdi Saoudi Abderrahmane Adoui El Ouadrhiri Othman El Warrak Said Jai Andaloussi Abderrahim Sekkaki Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model Proceedings of the XXth Conference of Open Innovations Association FRUCT Content-Based Video Retrieval (CBVR) Distributed processing Hadoop framework Bounded Coordinate of Motion Histogram (BCMH) Similarity measurement Computation time optimization |
| title | Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model |
| title_full | Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model |
| title_fullStr | Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model |
| title_full_unstemmed | Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model |
| title_short | Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model |
| title_sort | improving content based video retrieval performance by using hadoop mapreduce model |
| topic | Content-Based Video Retrieval (CBVR) Distributed processing Hadoop framework Bounded Coordinate of Motion Histogram (BCMH) Similarity measurement Computation time optimization |
| url | https://fruct.org/publications/fruct23/files/Sao.pdf
|
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