A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation
A major fraction of multimedia stream contents tends to be redundant and leads to wastage of storage capacity and channel bandwidth. In order to eliminate surplus data, standard video compression algorithms exploit spatial and temporal correlation present in video sequence. However, in case of a mul...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-06-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/539838 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555271637958656 |
|---|---|
| author | Saima Shaheen M. Younus Javed Muid Mufti Shehzad Khalid Aasia Khanum Shoab A. Khan M. Usman Akram |
| author_facet | Saima Shaheen M. Younus Javed Muid Mufti Shehzad Khalid Aasia Khanum Shoab A. Khan M. Usman Akram |
| author_sort | Saima Shaheen |
| collection | DOAJ |
| description | A major fraction of multimedia stream contents tends to be redundant and leads to wastage of storage capacity and channel bandwidth. In order to eliminate surplus data, standard video compression algorithms exploit spatial and temporal correlation present in video sequence. However, in case of a multisensor network, intersensor statistical redundancy is the most significant factor in acquiring efficient link utilization as well as making resultant findings valuable to the end user. In this paper, an extension to our previously proposed scheme has been presented to accomplish performance goals of a multisensor environment. Standard MPEG codec has been used to accomplish distributed motion compensation in prespecified directions known as directional correlation. Video frame correlation has been estimated locally at the camera node as well as across different nodes, defined as node communication strategies. Further, receiver feedback assists in quality control after reconstitution by decoder assessment. Results estimated have been analyzed for saving ratios and multimedia quality. Results analysis illustrates increased gains in frame quality and compression saving, achieved through reducing node displacement from the reference node N R . |
| format | Article |
| id | doaj-art-64b7cd71d0fa4af982ef56bcabf5a8df |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-64b7cd71d0fa4af982ef56bcabf5a8df2025-02-03T05:48:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/539838539838A Novel Compression Technique for Multi-Camera Nodes through Directional CorrelationSaima Shaheen0M. Younus Javed1Muid Mufti2Shehzad Khalid3Aasia Khanum4Shoab A. Khan5M. Usman Akram6 Department of Computer Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad 44000, Pakistan Department of Computer Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad 44000, Pakistan ID Technologies, 6205-10th Street S.E., Calgary, AB, Canada, T2H 2Z9 Bahria University, Islamabad 44000, Pakistan Department of Computer Science, Forman Christian College, Lahore 54000, Pakistan Department of Computer Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad 44000, Pakistan Department of Computer Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad 44000, PakistanA major fraction of multimedia stream contents tends to be redundant and leads to wastage of storage capacity and channel bandwidth. In order to eliminate surplus data, standard video compression algorithms exploit spatial and temporal correlation present in video sequence. However, in case of a multisensor network, intersensor statistical redundancy is the most significant factor in acquiring efficient link utilization as well as making resultant findings valuable to the end user. In this paper, an extension to our previously proposed scheme has been presented to accomplish performance goals of a multisensor environment. Standard MPEG codec has been used to accomplish distributed motion compensation in prespecified directions known as directional correlation. Video frame correlation has been estimated locally at the camera node as well as across different nodes, defined as node communication strategies. Further, receiver feedback assists in quality control after reconstitution by decoder assessment. Results estimated have been analyzed for saving ratios and multimedia quality. Results analysis illustrates increased gains in frame quality and compression saving, achieved through reducing node displacement from the reference node N R .https://doi.org/10.1155/2015/539838 |
| spellingShingle | Saima Shaheen M. Younus Javed Muid Mufti Shehzad Khalid Aasia Khanum Shoab A. Khan M. Usman Akram A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation International Journal of Distributed Sensor Networks |
| title | A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation |
| title_full | A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation |
| title_fullStr | A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation |
| title_full_unstemmed | A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation |
| title_short | A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation |
| title_sort | novel compression technique for multi camera nodes through directional correlation |
| url | https://doi.org/10.1155/2015/539838 |
| work_keys_str_mv | AT saimashaheen anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT myounusjaved anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT muidmufti anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT shehzadkhalid anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT aasiakhanum anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT shoabakhan anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT musmanakram anovelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT saimashaheen novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT myounusjaved novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT muidmufti novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT shehzadkhalid novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT aasiakhanum novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT shoabakhan novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation AT musmanakram novelcompressiontechniqueformulticameranodesthroughdirectionalcorrelation |