Comparison of Quantization Index Modulation and Forbidden Zone Data Hiding for Compressed Domain Video Data Hiding

Esen, Ersin
Dogan, Zafer
Ates, Tugrul K.
Alatan, Abdullah Aydın
Data hiding is now a part of daily life through various applications. In this work, we apply two data hiding methods, Quantization Index Modulation and Forbidden Zone Data Hiding, to video applications. We place these methods into a general video data hiding scheme and compare their performance against compression attacks. The results of the experiments with typical TV content indicate the superiority of FZDH, specifically for powerful attacks.


Comparison of Forbidden Zone Data Hiding and Quantization Index Modulation
Esen, Ersin; Alatan, Abdullah Aydın (2012-01-01)
Developing practical data hiding schemes that approach theoretical steganographic capacity limits is still a challenging research area. In this aspect, this problem is approached from a different perspective by proposing a novel method that relies on the newly introduced forbidden zone concept, which is defined as the host signal range, where no alterations are allowed. The proposed method, Forbidden Zone Data Hiding (FZDH), combines the forbidden zone with binning schemes and it is formulated both in gener...
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Databases and database technology have become an essential component of everyday life in modern society. As databases are widely used in every organization with a computer system, control of data resources and management of data are very important. Database Management System (DBMS) is the most significant tool developed to serve multiple users in a database environment consisting of programs that enable users to create and maintain a database. Windows Distributed Internet Applications (DNA) architecture des...
A new concept in data hiding: Forbidden zone
Esen, Ersin; Alatan, Abdullah Aydın (2006-01-01)
A new concept is introduced to data hiding field. This concept, which is named as Forbidden Zone, corresponds to the region where it is forbidden to alter the host signal. A new data hiding method is devised depending on Forbidden Zone. The proposed method is formulated by using a single control parameter and quantizers. Using uniform source and uniform quantizers the proposed method is theoretically shown to be superior than QIM in 1D. The obtained theoretical result is also verified by experiments.
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Altintakan, Ümit Lütfü; Yazıcı, Adnan; Körpeoğlu, İbrahim; Department of Computer Engineering (2013)
Possibilities offered by the technology to create, share and disseminate image and video data have resulted in a rapid increase in the available visual data. However, the data is useless unless it is effectively accessed, which necessitates the semantic analysis of visual data. In this dissertation, we present a novel visual analysis system along with its application to image classification problem. We aim to address the challenges in the area originated from the semantic gap, and to facilitate the research...
Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework
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With the use of data warehouses, the need for faster access and analysis to historical and multidimensional data has arisen. Online analytical processing (OLAP), developed for this purpose, has provided suitable data structures that overcome some of the limitations of relational databases by providing rapid data analysis. OLAP can display and collect large amounts of data while providing searchable access to any data point and handle a wide variety of complex queries that match user interests. While OLAP en...
Citation Formats
E. Esen, Z. Dogan, T. K. Ates, and A. A. Alatan, “Comparison of Quantization Index Modulation and Forbidden Zone Data Hiding for Compressed Domain Video Data Hiding,” 2009, Accessed: 00, 2020. [Online]. Available: