Content based video retrieval using discrete cosine transform

A content based video retrieval (CBVR)framework is built in this paper. One of the essential features of video retrieval process and CBVR is a color value. The discrete cosine transform (DCT) is used to extract a query video features to compare with the video features stored in our database. Average result of 0.6475 was obtained by using the DCT after implementing it to the database we created and collected, and on all categories. This technique was applied on our database of video, Check 100 database videos, 5 videos in each category.

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Channel Estimation Scheme with Low-Complexity Discrete Cosine Transform in MIMO-OFDM System

IEICE Transactions on Communications ◽

10.1587/transcom.e92.b.3836 ◽

2009 ◽

Vol E92-B (12) ◽

pp. 3836-3842

Author(s):

Daisuke TAKEDA ◽

Yasuhiko TANABE

Keyword(s):

Channel Estimation ◽

Discrete Cosine Transform ◽

Low Complexity ◽

Ofdm System ◽

Cosine Transform ◽

Estimation Scheme ◽

Mimo Ofdm

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Investigation of the Adaptive Discrete Cosine Transform Technique for Still Picture Data Compression

10.21236/ada228745 ◽

1989 ◽

Author(s):

DELTA INFORMATION SYSTEMS INC HORSHAM PA

Keyword(s):

Data Compression ◽

Discrete Cosine Transform ◽

Cosine Transform

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LWT-DCT based Image Watermarking Scheme using Normalized SVD

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813999200821161656 ◽

2020 ◽

Vol 13 ◽

Author(s):

Rahul Dixit ◽

Amita Nandal ◽

Arvind Dhaka ◽

Vardan Agarwal ◽

Yohan Varghese

Keyword(s):

Wavelet Transform ◽

Singular Value Decomposition ◽

Discrete Cosine Transform ◽

Image Watermarking ◽

Singular Value ◽

Cover Image ◽

Lifting Wavelet Transform ◽

Cosine Transform ◽

Lifting Wavelet ◽

Value Decomposition

Background: Nowadays information security is one of the biggest issues of social networks. The multimedia data can be tampered with, and the attackers can then claim its ownership. Image watermarking is a technique that is used for copyright protection and authentication of multimedia. Objective: We aim to create a new and more robust image watermarking technique to prevent illegal copying, editing and distribution of media. Method : The watermarking technique proposed in this paper is non-blind and employs Lifting Wavelet Transform on the cover image to decompose the image into four coefficient matrices. Then Discrete Cosine Transform is applied which separates a selected coefficient matrix into different frequencies and later Singular Value Decomposition is applied. Singular Value Decomposition is also applied to the watermarking image and it is added to the singular matrix of the cover image which is then normalized followed by the inverse Singular Value Decomposition, inverse Discrete Cosine Transform and inverse Lifting Wavelet Transform respectively to obtain an embedded image. Normalization is proposed as an alternative to the traditional scaling factor. Results: Our technique is tested against attacks like rotation, resizing, cropping, noise addition and filtering. The performance comparison is evaluated based on Peak Signal to Noise Ratio, Structural Similarity Index Measure, and Normalized Cross-Correlation. Conclusion: The experimental results prove that the proposed method performs better than other state-of-the-art techniques and can be used to protect multimedia ownership.

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