<--- Back to Details
First PageDocument Content
Vision / Scale-invariant feature transform / Key frame / Nearest neighbor search / Video copy detection / Motion / SURF / Shot transition detection / Information science / Computer vision / Imaging
Date: 2009-12-07 10:16:34
Vision
Scale-invariant feature transform
Key frame
Nearest neighbor search
Video copy detection
Motion
SURF
Shot transition detection
Information science
Computer vision
Imaging

AT&T Research at TRECVID 2009

Add to Reading List

Source URL: www-nlpir.nist.gov

Download Document from Source Website

File Size: 809,33 KB

Share Document on Facebook

Similar Documents

Multimedia / Alphabet Inc. / Image processing / Video / Video copy detection / YouTube / Information retrieval / Color layout descriptor

poster_informatiktage_2009

DocID: 1oNTt - View Document

Video processing / Security / Biometrics / Identification / Fingerprint / Science / Video copy detection / Cryptography / Public key fingerprint / Acoustic fingerprinting / Digital rights management / Digital video fingerprinting

Signature Certain copies make you smile. Others don’t. www.ina.fr/signature

DocID: 18Bdh - View Document

Video copy detection / Multimedia Information Retrieval / SURF / Science / Ethology / Information / Computer vision / Multimedia / Technology

A Simple but Effective Approach to Video Copy Detection Gerhard Roth, Robert Lagani`ere, Patrick Lambert, Ilias Lakhmiri, and Tarik Janati , ,

DocID: 18k9v - View Document

Video processing / Security / Biometrics / Identification / Fingerprint / Science / Video copy detection / Cryptography / Public key fingerprint / Acoustic fingerprinting / Digital rights management / Digital video fingerprinting

PDF Document

DocID: 17jCa - View Document

Imaging / Geometric hashing / Video copy detection / Triangle / Information retrieval / Feature / Object recognition / Recall / Encoding / Computer vision / Vision / Artificial intelligence

Author manuscript, published in: Proceedings of ACM International Conference on Multimedia Retrieval 2011, ACM, 2011. DOI: [removed][removed]Multimedia Computing and Computer Vision Lab, Augsburg University, http:/

DocID: Sw0D - View Document