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Mobile Application of Video Watermarking Using Discrete Cosine Transform on Android Platform
Busiri M.G.a, Munir R.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.Digital watermarking is a way to keep the security of digital data such as videos and images. Steganography is a method to hide message or watermark into data in order to keep it secret and avoid attention from others. In this research, an application of video watermarking using steganography or using Discrete Cosine Transform (DCT) method has been developed. DCT is robust method, watermark still be safe even if it’s attacked or edited. DCT is often used in compression of JPEG image with transforming coefficients and then doing quantization to reduce the size. The watermark is embedded into quantized coefficients. The coefficients are divided into three frequency: low frequency, middle frequency, and high frequency. Watermark will be embedded using Koch Zhao algorithm where the embedding is performed on middle frequency. After the watermark is successfully embedded, it will be compared to original video’s quality using PSNR parameter. The experiment showed that watermarked videos have PSNR ≥ 30 dB. The weakness of DCT is against Gaussian Noise and the strength of DCT is against compression. Application built on Android platform because in the present era smartphone technology with camera has been widely used by people and with video watermarking our video will not be owned by others.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Android,embedding,extracting,Koch Zhao,robust[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Android,DCT,embedding,extracting,Koch Zhao,robust,watermark[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICICI-BME.2017.8537779[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]