Content-Based Matching of Videos Using Local Spatio-temporal Fingerprints

Singh, Gajinder; Puri, Manika; Lubin, Jeffrey; Sawhney, Harpreet

doi:10.1007/978-3-540-76390-1_41

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…[8], on the other hand, uses local features; it extracts key frames to match against a database and then uses the local spatial-temporal features to match the videos.…”

Section: Video Content Based Identificationmentioning

confidence: 99%

“…[7] and [8] are also based on key frame analysis: [7] proposes a clustering technique where the authors take key frames for each cluster of the query video and perform a key frame based search for similarity regions in the target videos. [8], on the other hand, uses local features; it extracts key frames to match against a database and then uses the local spatial-temporal features to match the videos.…”

Section: Video Content Based Identificationmentioning

confidence: 99%

See 1 more Smart Citation

An analysis of independence of video signatures based on tomography

Possos

Garcia

Mendolla

et al. 2009

2009 IEEE International Conference on Multimedia and Expo

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The current technological advances allow for the easy distribution and duplication of video content through various venues, the most popular being the World Wide Web. Upholding copyright laws has thus become an important task; the result to this problem needs to be implemented in such a way to provide automatic video identification. This paper presents a novel approach to video identification based on the video tomography technique. The proposed video signature was designed and evaluated based on its ability to uniquely identify videos. A video signature should be both independent and robust. This paper focuses on evaluating the independence of the proposed video signatures. The signatures were evaluated using a large test set developed for the MPEG activity on digital video signatures. The results show that the proposed signature works well and exhibits strong independence necessary to support general purpose video identification systems.

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“…[8], on the other hand, uses local features; it extracts key frames to match against a database and then uses the local spatial-temporal features to match the videos.…”

Section: Video Content Based Identificationmentioning

confidence: 99%

Section: Video Content Based Identificationmentioning

confidence: 99%

An analysis of independence of video signatures based on tomography

Possos

Garcia

Mendolla

et al. 2009

2009 IEEE International Conference on Multimedia and Expo

View full text Add to dashboard Cite

show abstract

“…The clustering and key frame analysis techniques are used in [10] where key frames for each cluster of the query are extracted and then a key frame based search for similarity regions in the target videos is performed. Key frame analysis is also used in [11] where key frames are extracted to match against a database and then the local spatial-temporal features are adopted to match the video sequences.…”

Section: Introductionmentioning

confidence: 99%

An Improved Video Identification Scheme Based on Video Tomography

Tan

Lu³

et al. 2014

IEICE Trans. Inf. & Syst.

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SUMMARYIn recent years, with the popularization of video collection devices and the development of the Internet, it is easy to copy original digital videos and distribute illegal copies quickly through the Internet. It becomes a critical task to uphold copyright laws, and this problem will require a technical solution. Therefore, as a challenging problem, copy detection or video identification becomes increasingly important. The problem addressed here is to identify a given video clip in a given set of video sequences. In this paper, an extension to the video identification approach based on video tomography is presented. First, the feature extraction process is modified to enhance the reliability of the shot signature with its size unchanged. Then, a new similarity measurement between two shot signatures is proposed to address the problem generated by the original approach when facing the query shot with a short length. In addition, the query scope is extended from one shot only to one clip (several consecutive shots) by giving a new definition of similarity between two clips and describing a search algorithm which can save much of the computation cost. Experimental results show that the proposed approach is more suitable for identifying shots with short lengths than the original approach. The clip query approach performs well in the experiment and it also shows strong robustness to data loss. key words: video tomography, video signature, shot detection, video clip query

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Accuracy and stability improvement of tomography video signatures

Possos

Kalva

2010

2010 IEEE International Conference on Multimedia and Expo

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Content-Based Matching of Videos Using Local Spatio-temporal Fingerprints

Cited by 3 publications

References 4 publications

An analysis of independence of video signatures based on tomography

An analysis of independence of video signatures based on tomography

An Improved Video Identification Scheme Based on Video Tomography

Accuracy and stability improvement of tomography video signatures

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