Temporal watermarking of digital video

Date

2003-04-11

Author

Koz, A
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

190
views

0
downloads

A video watermarking method is presented, based on the temporal sensitivity of Human Visual System (HVS). The method exploits the temporal contrast thresholds of HVS to determine the spatio-temporal locations, where the watermark should be embedded, and the maximum strength of watermark, which still gives imperceptible distortion after watermark insertion. The robustness results indicate that the proposed scheme survives video distortions, such as additive Gaussian noise, ITU H.263+ coding at medium bit rates, frame dropping and frame averaging without any perceptual artifacts.

Subject Keywords

Computer Science, Artificial Intelligence, Imaging Science & Photographic Technology

URI

https://hdl.handle.net/11511/48204

DOI

https://doi.org/10.1142/9789812704337_0049

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Oblivious video watermaking using temporal sensitivity of HVS Koz, A; Alatan, Abdullah Aydın (2004-04-30) An oblivious video watermarking method is presented based on the temporal sensitivity of Human Visual System (HVS). The method exploits the temporal contrast thresholds of HVS to determine the maximum strength of watermark, which still gives imperceptible distortion after watermark insertion. Compared to other approaches in the literature, the method guarantees to avoid flickering problem in the watermarked video and gives better robustness results to video distortions, such as additive Gaussian noise, H.26...
Oblivious video watermarking using temporal sensitivity of HVS Koz, A; Alatan, Abdullah Aydın (2005-09-14) A novel oblivious video watermarking technique based on temporal sensitivity of Human Visual System (HVS) is proposed. The method exploits the temporal contrast thresholds of HVS to determine the maximum strength of watermark, which still gives imperceptible distortion after watermark insertion. Compared to the other methods in the literature, which do not use any HVS properties explicitly [12] or exploits only spatial properties of HVS [13], the proposed method guarantees to avoid flickering problem in the...
Blind channel identification methods and channel order estimation Tuncer, Temel Engin (2006-04-19) n this paper, we consider three blind channel estimation methods. Cross-relation (CR), subspace (SS) and least squares smoothing (J-LSS) methods are compared for single-input multi-output (SIMO) systems. In contrast to the previous works, we evaluate the practical MSE performances of these methods for short data lengths and random channels when the number of channels is greater than two. Some previously unknown characteristics of these methods are presented. A novel method for blind channel order estimation...
Automatic image annotation by ensemble of visual descriptors Akbaş, Emre (2007-06-22) Automatic image annotation systems available in the literature concatenate color, texture and/or shape features in a single feature vector to learn a set of high level semantic categories using a single learning machine. This approach is quite naive to map the visual features to high level semantic information concerning the categories. Concatenation of many features with different visual properties and wide dynamical ranges may result in curse of dimensionality and redundancy problems. Additionally, it usu...
Foveated image watermarking Koz, A; Alatan, Abdullah Aydın (2002-09-25) The spatial resolution of the human visual system (HVS) decreases rapidly away from the point of fixation (foveation point). By exploiting this fact, we propose a watermarking approach that embeds the watermark energy into the image peripheral according to foveation-based HVS contrast thresholds. Compared to the other HVS-based watermarking methods, the simulation results demonstrate an improvement in the robustness of the proposed approach against image degradations, such as JPEG compression, cropping and ...

Citation Formats

A. Koz and A. A. Alatan, “Temporal watermarking of digital video,” 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48204.