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Articles by K.K. Thyagharajan
Total Records ( 2 ) for K.K. Thyagharajan
  K.K. Thyagharajan and V. Ramachandran
  Browsing streaming video quickly through Internet with in the available bandwidth is a challenging one and it is also time consuming. The user has to browse, view and listen to the complete video to identify relevant contents. Most of the video summarization techniques presented in research papers are suitable only for stand-alone environments. They are not addressing or analyzing the problems faced by streaming video and do not provide an evaluation system to evaluate streaming parameters. The objective of video segmentation and summarization is to maximize the information rate from a streaming server to client in media access activities. This study discusses the segmentation techniques for creating video summary and proposes a hierarchical scheme, which decomposes a video sequence into different content-resolution levels to enhance the transmission and user interaction. Mathematical models have been derived to represent the video structure. Hence, streaming parameters such as bandwidth, buffer requirements and initial delay are evaluated for each segment at different levels to provide jitter-free playback. The algorithm developed in this study can be attached with a video encoder to evaluate streaming parameters and the result can be provided to a streaming server to create an effective transmission schedule.
  P. Saravanan and K.K. Thyagharajan
  Today, High Efficiency Video Coding (HEVC), developed by the ITU-T video coding experts group and ISO/IEC moving picture experts group is emerging as a potential video compression standard. HEVC or H.265 compared to H.264/AVC is primarily standardized to improve the compression ratio, so as to achieve an equivalent video quality. In HEVC, a joint selective encryption and data embedding technique is proposed where HEVC coding structure is separated into two groups. One is utilized for encrypting video content and the other for embedding data. However, the size of bit-streams for encrypted and data-embedded videos are increased significantly, since, the HEVC coding structure is not utilized. Therefore, in this study we have proposed an improved joint selective encryption and matrix embedding technique using block size coding decision model in H.265. In this approach, non-zero DCT coefficients are manipulated according to the transform block size in all frames. Here, matrix embedding is proposed in terms of large payloads for improving embedding efficiency and reducing coding complexity. The results obtained show that the proposed data hiding technique for H.265 provided highest embedding efficiency with reduced coding complexity.
 
 
 
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