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NEC Technology Detects Illegal Video Copies in Seconds

NEC Corporation announced the development of a video content identification technology that detects illegal copies of video content uploaded to the Internet in a matter of seconds.

According to the statement, this technology generates a fingerprint (video signature) to identify video content then compares video signatures to the signatures of original content in order to detect copies or altered versions. Therefore, altered video content, such as caption overlays, camera captured copies and analog copies, can be quickly and accurately detected.

For more information visit: www.nec.com


Unedited press release follows:

NEC Develops Video Content Identification Technology that Detects Illegal Video Copies on the Internet in a Matter of Seconds

— New technology accepted as part of the MPEG-7 Standard —

Tokyo, May 7, 2010 – NEC Corporation (NEC; TSE: 6701) announced today the development of a video content identification technology that detects illegal copies of video content uploaded to the Internet in a matter of seconds.

This technology generates a fingerprint (video signature) to identify video content then compares video signatures to the signatures of original content in order to detect copies or altered versions. Therefore, altered video content, such as caption overlays, camera captured copies and analog copies, can be quickly and accurately detected.

This new technology enables content holders and service providers to automatically detect illegal copies and prevent illegal upload of video content on the Internet by registering original video content. These developments are expected to significantly reduce the time and cost of manual content inspections as well as improve the scale and accuracy of content assessment.

This technology has been approved by the ISO/IEC JTC 1/SC 29 (*1) as the MPEG-7 Video signature tool (*2), international standard for video identification.

These video content identification technologies feature the following:

1. Accurate detection of copied or altered video content
Video signatures are extracted for each frame based on differences in the luminance between sets of sub-regions on a frame that are defined by a variety of locations, sizes, and shapes. Video signatures represent a unique fingerprint that can be individually detected frame by frame. This technology is capable of accurately detecting video content with that was created with such editing operations as analog capturing (*3), re-encoding (*4) and caption overlay (*5), which was conventionally very difficult to detect.

2. A high detection rate and low false positive rate for all video contents
By estimating confidence of signatures generated from each frame and using the confidence for sequence identification, the technology achieves a high detection rate (*6) with a very low false positive rate (*7). These technologies achieved an average detection rate of 96% at a very low false alarm rate of 5ppm (5 in one million) through tests conducted by the international standardization organization.

3. Detection of short video scenes
Due to the high identification capability of signatures, the technology is capable of accurately detecting video scenes as short as 2 seconds (60 frames), which was formerly impossible when using conventional methods.

4. Compatibility with home PCs
By designing a compact signature size of 76 bytes per frame, the storage memory required for the matching process is minimized. As a result, a home-class PC (*8) can match approximately 1,000 hours of video in 1 second.

Due to the proliferation of video distribution services on the Internet, the detection and deletion of illegally distributed and copied video content (copyright infringement) has become a crucial issue for content holders and service providers. This problem has conventionally been addressed by manual inspection which is incapable of accurately tracking the constantly growing volume of Internet content. In order to solve this issue, various automatic detection tools have been proposed, such as digital watermarks where content is embedded with special code, and the use of image retrieval technology. However, it was prohibitively difficult to accurately inspect large databases, short content or video produced through various editing operations. These new technologies resolve each of the above issues.

Looking forward, NEC will further develop this technology in order to provide a variety of applications that establish a content distribution structure where all video rights are respected.

This technology was approved as the Final Draft of International Standard of ISO/IEC 15938-3/Amd.4 at the 92nd ISO/IEC JTC 1/SC 29 WG11 (MPEG) meeting held in Dresden, Germany from April 19 to 23, 2010. The standard is expected to be published in September 2010, following approval from ITTF member countries.

This newly developed technology will be demonstrated at the 13th Embedded System Expo at Tokyo Bigsite between May 12 and 14.

(*1) ISO/IEC JTC 1/SC 29:
ISO/IEC JTC 1/SC 29 is a sub-committee responsible for voice, images, multimedia, and hypermedia within the joint technology committee between the International Organization for Standardization (ISO) and International Electorotechnical Commission (IEC).

(*2) MPEG-7 Video signature tools:
This is an amendment to MPEG-7 Visual, a standard for content description interface for multimedia content that has been established as an international standard for identification technology of video content, as ISO/IEC 15938-3/Amd.4.

(*3) Analog capturing:
Analog capturing records data projected on a display by video camera or copies analog signals with audio visual equipment. This method often deletes part of an image or tends to change the color and brightness from the original.

(*4) Re-encoding:
After decoding the digital bitstream, this method replaces the bitstream with the one re-encoded from the decoded data.

(*5) Caption overlay:
Overlaying words and logos on top of original content.

(*6) Detection rate:
The ratio that can successfully detect a copied video.

(*7) False positive rate:
The ratio that incorrectly identifies content as copied, even if the content is different.

(*8) Home class PC:
A single core CPU with 3GHz clock speed was used for testing purposes. Signatures were stored in the main memory.

About NEC Corporation
NEC Corporation is a leader in the integration of IT and network technologies that benefit businesses and people around the world. By providing a combination of products and solutions that cross utilize the company’s experience and global resources, NEC’s advanced technologies meet the complex and ever-changing needs of its customers. NEC brings more than 100 years of expertise in technological innovation to empower people, businesses and society. For more information, visit NEC at http://www.nec.com.

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