Abstract
We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of 3-D videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 3-D videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of 3-D videos, while our system detects more than 98% of them. This comparison shows the need for the proposed 3-D signature method, since the state-of-the-art commercial system was not able to handle 3-D videos.
| Original language | English |
|---|---|
| Article number | 7005542 |
| Pages (from-to) | 420-433 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Multimedia |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2015 |
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Keywords
- 3-D video
- cloud applications
- depth signatures
- video copy detection
- video fingerprinting
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Media Technology
- Computer Science Applications
Cite this
Cloud-based multimedia content protection system. / Hefeeda, Mohamed; Elgamal, Tarek; Calagari, Kiana; Abdelsadek, Ahmed.
In: IEEE Transactions on Multimedia, Vol. 17, No. 3, 7005542, 01.03.2015, p. 420-433.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Cloud-based multimedia content protection system
AU - Hefeeda, Mohamed
AU - Elgamal, Tarek
AU - Calagari, Kiana
AU - Abdelsadek, Ahmed
PY - 2015/3/1
Y1 - 2015/3/1
N2 - We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of 3-D videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 3-D videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of 3-D videos, while our system detects more than 98% of them. This comparison shows the need for the proposed 3-D signature method, since the state-of-the-art commercial system was not able to handle 3-D videos.
AB - We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of 3-D videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 3-D videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of 3-D videos, while our system detects more than 98% of them. This comparison shows the need for the proposed 3-D signature method, since the state-of-the-art commercial system was not able to handle 3-D videos.
KW - 3-D video
KW - cloud applications
KW - depth signatures
KW - video copy detection
KW - video fingerprinting
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U2 - 10.1109/TMM.2015.2389628
DO - 10.1109/TMM.2015.2389628
M3 - Article
VL - 17
SP - 420
EP - 433
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
SN - 1520-9210
IS - 3
M1 - 7005542
ER -