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Posts Tagged ‘Multimedia course’

MultiMedia Systems Project Final Evaluation


Here is the multimedia final project ppt An Efficient Video Similarity Search AlgorithmAn Efficient Video Similarity Search Algorithm. I had already shared the abstract of the project and the actual IEEE Transaction paper I had implemented. The following link contains the link for the final Efficient Video Searching Algorithm REPORT.

The presentation went very well. My instructor, HOD, was very happy with the work I’ve done including¬† modifications I had done to the paper for improving the time.

The results I got from the video database of a considerable size are:

Video similarity search query video

Video similarity search query video

Retrieved videos are

QBE2 output

QBE2 output

output3

output3

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MultiMedia Systems Project Mid term Evalution ppt


Here is the multimedia mid term evaluation project ppt An Efficient Video Similarity Search Algorithm. I had already specified the abstract of the project and the actual IEEE Transaction paper I’m implementing.¬† The ppt contains up to now what all the work I’ve done and what else is remaining.

Multimedia Systems Development (MSD) course project


An Efficient Video Similarity Search Algorithm

Abstract
This project uses efficient video retrieval technique in a large storage. There are two challenging problems in detecting video similarity from a large storage similarity measurement and search method. This project uses a novel video feature computation of image characteristic code based on spatial-temporal distribution of video frame sequences.

The video similarity is measured based on the calculation of the number of similar video components. This system is on the basis of four types of tables: The first is video CIT (VCIT) containing the number of video components. The second is database CIT (DCIT) recording video ID and the number of video
component of each video. The third is search table (ST) including the corresponding database CIT of each video clip.The forth is video similarity table (VST) recording similar video ID and video similarity measure. In order to improve the query throughput and fast accessing, it uses Cluster indexing mechanism in database.
References
[1] An Efficient Video Similarity Search Algorithm. Zheng Cao, Ming Zhu. IEEE Transactions
on Consumer Electronics, Vol. 56, No. 2, May 2010.

Name: Chittampally Vasanth Raja
RollNo: 10IT05F

Download as Pdf :Abstract_10IT05F