Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation
The use of modern video surveillance systems is associated with solving the tasks of monitoring the activities of personnel and compliance with the technological process based on the analysis and processing of large amounts of video data. This leads to an increase in the cost of information storag...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2023-06-01
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| Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| Subjects: | |
| Online Access: | https://ntv.ifmo.ru/file/article/22045.pdf |
| _version_ | 1797798457514131456 |
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| author | Artyom D. Obukhov Maxim S. Nikolyukin |
| author_facet | Artyom D. Obukhov Maxim S. Nikolyukin |
| author_sort | Artyom D. Obukhov |
| collection | DOAJ |
| description | The use of modern video surveillance systems is associated with solving the tasks of monitoring the activities of
personnel and compliance with the technological process based on the analysis and processing of large amounts of video
data. This leads to an increase in the cost of information storage, the cost of staff time resources to search for key events
over long time periods. The problem of increasing the information value of stored data from video surveillance cameras
based on frame filtering and entropy estimation is considered. The implementation of algorithms for processing and
compressing information aimed at reducing the volume of stored video data is proposed. The use of this implementation
contributes to increasing the overall information value, the efficiency of video surveillance systems by optimizing the
volume of stored information and increasing the ratio of useful information. To increase the informational value of video
data, a method is proposed that includes the use of modern video compression technologies, a frame filtering algorithm, and
an evaluation of the processed video by the Shannon entropy metric. The analysis and comparison of existing video data
compression algorithms are performed. An experiment was carried out, as a result of which the correlation between high
entropy values and the information value of the frame was proved, the frame filtering algorithm was successfully tested,
which allowed to increase entropy by 5.4 times and reduce the duration of the video by 8 times. The use of video data
compression methods and efficient codecs, for example, H.265/HEVC, reduced the file size by 14.57 times compared to
the original one. The approbation of the proposed method is considered when solving problems of filtering, transmitting,
and storing of video data to increase the information value of video data, the productivity of the analysis and information
retrieval processes by reducing redundant, useless data fragments. The advantage of the presented method is to remove
redundant frames based on motion analysis and entropy estimation of video data, a combination of various approaches
to reduce the volume of transmitted and stored information. The application of the method will increase the efficiency
of data storage in various video surveillance systems (for logistics centers, warehouse complexes, retail premises). |
| first_indexed | 2024-03-13T04:04:00Z |
| format | Article |
| id | doaj.art-34ec9d9d38bb478492b9670cf043fc27 |
| institution | Directory Open Access Journal |
| issn | 2226-1494 2500-0373 |
| language | English |
| last_indexed | 2024-03-13T04:04:00Z |
| publishDate | 2023-06-01 |
| publisher | Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) |
| record_format | Article |
| series | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| spelling | doaj.art-34ec9d9d38bb478492b9670cf043fc272023-06-21T09:00:33ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732023-06-0123349349910.17586/2226-1494-2023-23-3-493-499Method for increasing the information value of video data based on the removal of redundant frames and entropy estimationArtyom D. Obukhov0https://orcid.org/0000-0002-3450-5213Maxim S. Nikolyukin1https://orcid.org/0000-0003-1648-0136D.Sc., Associate Professor, Tambov State Technical University, Tambov, 392000, Russian Federation, sc 56104232400PhD Student, Tambov State Technical University, Tambov, 392000, Russian FederationThe use of modern video surveillance systems is associated with solving the tasks of monitoring the activities of personnel and compliance with the technological process based on the analysis and processing of large amounts of video data. This leads to an increase in the cost of information storage, the cost of staff time resources to search for key events over long time periods. The problem of increasing the information value of stored data from video surveillance cameras based on frame filtering and entropy estimation is considered. The implementation of algorithms for processing and compressing information aimed at reducing the volume of stored video data is proposed. The use of this implementation contributes to increasing the overall information value, the efficiency of video surveillance systems by optimizing the volume of stored information and increasing the ratio of useful information. To increase the informational value of video data, a method is proposed that includes the use of modern video compression technologies, a frame filtering algorithm, and an evaluation of the processed video by the Shannon entropy metric. The analysis and comparison of existing video data compression algorithms are performed. An experiment was carried out, as a result of which the correlation between high entropy values and the information value of the frame was proved, the frame filtering algorithm was successfully tested, which allowed to increase entropy by 5.4 times and reduce the duration of the video by 8 times. The use of video data compression methods and efficient codecs, for example, H.265/HEVC, reduced the file size by 14.57 times compared to the original one. The approbation of the proposed method is considered when solving problems of filtering, transmitting, and storing of video data to increase the information value of video data, the productivity of the analysis and information retrieval processes by reducing redundant, useless data fragments. The advantage of the presented method is to remove redundant frames based on motion analysis and entropy estimation of video data, a combination of various approaches to reduce the volume of transmitted and stored information. The application of the method will increase the efficiency of data storage in various video surveillance systems (for logistics centers, warehouse complexes, retail premises).https://ntv.ifmo.ru/file/article/22045.pdfinformation entropyshannon entropyvideo datavideo compression algorithmsinformation storagevideo surveillance systems |
| spellingShingle | Artyom D. Obukhov Maxim S. Nikolyukin Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki information entropy shannon entropy video data video compression algorithms information storage video surveillance systems |
| title | Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| title_full | Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| title_fullStr | Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| title_full_unstemmed | Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| title_short | Method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| title_sort | method for increasing the information value of video data based on the removal of redundant frames and entropy estimation |
| topic | information entropy shannon entropy video data video compression algorithms information storage video surveillance systems |
| url | https://ntv.ifmo.ru/file/article/22045.pdf |
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