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Mining TV Broadcasts 24/7 for Recurring Video Sequences Jeong, Dongseok

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Page 1: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Mining TV Broadcasts 24/7 for Recurring Video Sequences

Jeong, Dongseok

Page 2: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient His-tograms. What is the main idea of these techniques?

What methods are used for similar image searching?

Before the start – Question

Page 3: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Detecting recurring video clips in a TV broadcast stream

In this case, to detect recurring commercials in a TV broadcast stream

How can we overcome the storage and computing issue of video data?

The purpose of the paper

Page 4: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

IntroductionFingerprinting Video Streams ☜

CPF, Gradient HistogramsExplain own search algorithm ☜Experimental resultsRelated WorkConclusion

The structure of the paper

Page 5: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Color Patches Features(CPF) Each frame is reduced to averages of pixels

Video Fingerprinting

Page 6: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

CPF example

Video Fingerprinting

Page 7: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Gradient Histograms Edge-based features

Video Fingerprinting

Page 8: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Gradient Histograms cont.

Video Fingerprinting

Page 9: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Finally, we can measure the distance between two image and

The distance between two sequences , of length L is given by

Video Fingerprinting

Page 10: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Finding similar images to the source video Use inverted index and Locality

Sensitive HashingCompare short clips from each

sourceFinding the start-point and end-point

of repeated sequencesClassifying the repeated video

Searching Algorithm

Page 11: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Clip Length : choose 25 frames

Optimizing some parameters

Page 12: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Minimum Fraction of Matched Frames choose 20%

Optimize some parameters

Page 13: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Maximum Number of Entries in Hash Table choose 100 entries per hash value

Optimize some parameters

Page 14: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Minimum Length of Duplicates Choose 100 frames

Optimize some parameters

Page 15: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Searching for flips with GHs is up to 30% faster than using CPFs

But CPFs are faster to evaluate and need a smaller amount of storage

CPF VS GH

• (a) : Chart TV• (b) : Sky Sports

News

Page 16: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Apply the system to a variety of broadcast stations

Mining Different TV Channels

Page 17: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

The remaining false detections are mainly caused by repeated news sto-ries(in ARD : the German public broadcaster)

Gemini is an Indian TV channel – for non-natives what are commercials and what not?

Mining Different TV Channels

Page 18: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient His-tograms. What is the main idea of these techniques?

What methods are used for similar image searching?

Question Again

Page 19: Jeong, Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of

Any Question?

The End!