Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
The pyramid-technique: towards breaking the curse of dimensionality
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Multidimensional access methods
ACM Computing Surveys (CSUR)
Comparing salient point detectors
Pattern Recognition Letters
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Feature Extraction and a Database Strategy for Video Fingerprinting
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Comparing and Evaluating Interest Points
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Content-based video indexing of TV broadcast news using hidden Markov models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Discriminant local features selection using efficient density estimation in a large database
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
A fast shot matching strategy for detecting duplicate sequences in a television stream
Proceedings of the 2nd international workshop on Computer vision meets databases
Scalability of local image descriptors: a comparative study
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Proceedings of the 6th ACM international conference on Image and video retrieval
Scalable near identical image and shot detection
Proceedings of the 6th ACM international conference on Image and video retrieval
New local descriptors based on dissociated dipoles
Proceedings of the 6th ACM international conference on Image and video retrieval
Detecting repeats for video structuring
Multimedia Tools and Applications
An Efficient Method for Near-Duplicate Video Detection
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Proceedings of the ACM International Conference on Image and Video Retrieval
Scaling content-based video copy detection to very large databases
Multimedia Tools and Applications
The state of the art in image and video retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Video copy detection using multiple visual cues and MPEG-7 descriptors
Journal of Visual Communication and Image Representation
Speeding up complex video copy detection queries
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Fast and robust short video clip search for copy detection
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
A GPU-based high-throughput image retrieval algorithm
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
Information Processing and Management: an International Journal
A video copy detection algorithm based on two-level features measure
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
International Journal of Multimedia Data Engineering & Management
Hi-index | 0.00 |
This paper proposes a novel scheme for video content-based copy identification dedicated to TV broadcast with a reference video database exceeding 1000 hours of video. It enables the monitoring of a TV channel in soft real-time with a good tolerance to strong transformations that one can meet in any TV post-production process like: clipping, cropping, shifting, resizing, objects encrusting or color variations. Contrary to most of the existing schemes, the recognition is not based on global features but on local features extracted around interest points. This allows the selection and the localization of fully discriminant local patterns which can be compared according to a distance measure. Retrieval is performed using an efficient approximate Nearest Neighbors search and a final decision based on several matches cumulated in time.