Issues in Multimedia Databases: Coding for Content-Based Image Retrieval and Digital Copyright Protection

1999 ◽  
pp. 91-130
Author(s):  
Mitchell D. Swanson ◽  
Ahmed H. Tewfik
Keyword(s):  
Image Retrieval ◽  
Copyright Protection ◽  
Multimedia Databases ◽  
Content Based Image Retrieval ◽  
Digital Copyright ◽  
Digital Copyright Protection

scholarly journals Comparison of Digital Copyright Protection on Over the Top (OTT) Streaming Content Media in Indonesia and the United States

2021 ◽  
Vol 8 (2) ◽  
pp. 183-212
Author(s):  
Agung Kurniawan Sihombing ◽  
Rika Ratna Permata ◽  
Tasya Safiranita Ramli
Keyword(s):  
United States ◽  
Copyright Protection ◽  
Technological Development ◽  
Secondary Data ◽  
The United States ◽  
The Internet ◽  
Digital Copyright ◽  
Physical Form ◽  
Digital Copyright Protection ◽  
Over The Top

In the rapid technological development, physical boundaries have begun to disappear. The internet has created a ‘free culture’. In addition, the era is challenging the copyright concept along with the emergence of ‘digital copyright’. It has become the main commodity of Over-the-Top services providing means of communication and entertainment through the internet. Content streaming service like Netflix uses films, as well as other cinematographic works, as its main commodities. OTT Streaming media helps to protect copyright holders' rights that previously have been violated by illegal streaming sites on the internet. Unfortunately, it also raises a new question: how digital copyright-objects can be protected in this kind of service. Without physical form, copyright object can be distributed easily on the internet, and it may lead to right violations. To answer this problem, the authors aim to describe the digital copyright protection on OTT Streaming Content Media in Indonesia and compare them to the 1998 Digital Millennium Copyright Act (DMCA) of the United States of America using a descriptive-analytical approach. This study employed a normative juridical approach with secondary data. The results of this study indicate that digital copyright protection in Indonesia is still centered on conventional copyright objects, and a sui generis law is needed to provide better protection for digital copyright objects.

A Machine Learning-Based Model for Content-Based Image Retrieval

2011 ◽  
pp. 230-251 ◽  
Author(s):  
Hakim Hacid ◽  
Abdelkader Djamel Zighed
Keyword(s):  
Machine Learning ◽  
Image Retrieval ◽  
Nearest Neighbors ◽  
Multimedia Databases ◽  
Similarity Criteria ◽  
Content Based Image Retrieval ◽  
Multidimensional Space ◽  
K Nearest Neighbors ◽  
Indexing Structure ◽  
Group Data

A multimedia index makes it possible to group data according to similarity criteria. Traditional index structures are based on trees and use the k-Nearest Neighbors (k-NN) approach to retrieve databases. Due to some disadvantages of a such approach, the use of neighborhood graphs was proposed. This approach is interesting but it has some disadvantages consisting, mainly, in its complexity. This chapter presents a step in a long process of analyzing, structuring, and retrieving multimedia databases. Indeed, we propose an effective method for locally updating neighborhood graphs which constitute our multimedia index. Then, we exploit this structure in order to make easy and effective the retrieval process using queries in an image form in one hand. In another hand, we use the indexing structure to annotate images in order to describe their semantics. The proposed approach is based on an intelligent manner for locating points in a multidimensional space. Promising results are obtained after experimentations on various databases. Future issues of the proposed approach are very relevant in this domain.

A NOVEL INDEXING AND ACCESS MECHANISM USING AFFINITY HYBRID TREE FOR CONTENT-BASED IMAGE RETRIEVAL IN MULTIMEDIA DATABASES

2007 ◽  
Vol 01 (02) ◽  
pp. 147-170 ◽  
Author(s):  
KASTURI CHATTERJEE ◽  
SHU-CHING CHEN
Keyword(s):  
Image Retrieval ◽  
Metric Spaces ◽  
Nearest Neighbor ◽  
Human Perception ◽  
Multimedia Databases ◽  
Multimedia Retrieval ◽  
Index Structure ◽  
Content Based Image Retrieval ◽  
K Nearest Neighbor ◽  
Computational Overhead

An efficient access and indexing framework, called Affinity Hybrid Tree (AH-Tree), is proposed which combines feature and metric spaces in a novel way. The proposed framework helps to organize large image databases and support popular multimedia retrieval mechanisms like Content-Based Image Retrieval (CBIR). It is efficient in terms of computational overhead and fairly accurate in producing query results close to human perception. AH-Tree, by being able to introduce the high level semantic image relationship as it is in its index structure, solves the problem of translating the content-similarity measurement into feature level equivalence which is both painstaking and error-prone. Algorithms for similarity (range and k-nearest neighbor) queries are implemented and extensive experiments are performed which produces encouraging results with low I/O and distance computations and high precision of query results.

Design and Implementation of Geometric Invariant Zero-Watermarking in Digital Copyright Protection

2015 ◽  
Vol 731 ◽  
pp. 187-192 ◽  
Author(s):  
Xiao Yan Xu ◽  
Qiang Wang
Keyword(s):  
Copyright Protection ◽  
High Reliability ◽  
Low Frequency ◽  
Image Data ◽  
Media Industry ◽  
Geometric Invariant ◽  
Geometric Attacks ◽  
Digital Copyright ◽  
Copyright Information ◽  
Digital Copyright Protection

Digital copyright protection is a bottleneck in the cross-media industry currently. In this paper, image normalization technique is used to map image into a geometric invariant space. Then, important area is extracted from the normalized image. At last, important area’s low-frequency DCT coefficients and watermark image are used to construct copyright information. Simulation results show that, without changing original image data, the proposed scheme is robust to geometric attacks and some conventional signal processing attacks. Hence it provides an effective solution for high reliability copyright protection.

scholarly journals Research on digital copyright protection based on the hyperledger fabric blockchain network technology

2021 ◽  
Vol 7 ◽  
pp. e709
Author(s):  
Yanhui Liu ◽  
Jianbiao Zhang ◽  
Shupei Wu ◽  
Muhammad Salman Pathan
Keyword(s):  
Life Cycle ◽  
Copyright Protection ◽  
Network Technology ◽  
Test Results ◽  
Digital Copyright ◽  
The Past ◽  
Full Life Cycle ◽  
Blockchain Technology ◽  
Protection Systems ◽  
Digital Copyright Protection

With the recent development in network technology over a few years, digital works can be easily published online. One of the main issues in the field of digital technology is the infringement of digital works, which can seriously damage the data owners’ rights and affects the enthusiasm of the owners to create original work. Thus, more attention is required for the protection of digital copyright as it has a great impact on the development of society. Many digital copyright protection techniques were developed in the past, but still, there are many loopholes in the protection systems to be covered. The protection means are still relatively weak, timeliness is poor, infringement is frequent, a right determination is cumbersome, and the results are not ideal. Aiming at the mentioned problems, this paper proposes a protection technique, which can realize the automatic management of the complete digital rights life cycle on the blockchain using fabric's smart contract technology. The proposed system is based on blockchain technology, which leverages the distributed, tamper-proof and traceable characteristics of blockchain. The system uses smart contracts to manage the full life cycle of digital copyright. The test results show that the proposed system provides effective protection of the digital copyright system and can efficiently confirm the rights of digital copyright.

Design and Evaluation of a Content-Based Image Retrieval System

2011 ◽  
pp. 125-151 ◽  
Author(s):  
David Squire ◽  
Henning Muller ◽  
Wolfgang Muller ◽  
Stephane Marchand-Maillet ◽  
Thierry Pun
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Image Understanding ◽  
Text Retrieval ◽  
Multimedia Databases ◽  
Multimedia Retrieval ◽  
Context Dependency ◽  
Content Based Image Retrieval ◽  
Classical Text ◽  
Image Retrieval System

The growth in size and accessibility of multimedia databases has changed our approach to information retrieval. Classical text-based systems show their limitations in the context of multimedia retrieval. In this chapter, we address the problem of conceiving and evaluating a content-based image retrieval system. First, we investigate the use of the query-by-example (QBE) paradigm as a base paradigm for the development of a content-based image retrieval system (CBIRS). We show that it should be considered as a complement to the classical textual-based paradigms. We then evaluate the capabilities of the most up-to-date computer vision techniques in contributing to the realisation of such a system. Further, beyond the necessity of accurate image understanding techniques, we show that the amount of the data involved in the process of describing image content should also be considered as an important issue. This aspect of our study is largely based on the experience acquired by the text retrieval (TR) community, which we adapt to the context of CBIR. Similarly, the text retrieval community has also developed significant experience in evaluating retrieval systems, where judgements include subjectivity and context dependency. Extending this experience, we study a coherent framework for performing the evaluation of a CBIRS. As a practical example, we user our Viper CBIR system, using a novel communication protocol called MRML (Multimedia Retrieval Markup Language) to pinpoint the importance of the sharing of resources in facilitating the evaluation and therefore the development of CBIRS.

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