JAVA based video tracking network

by barkkathulla 2012-09-20 17:16:06

Video data hiding is still an important research topic due to the design complexities involved. The new video data hiding method that makes use of removal improvement capability of Repeat gather codes and superiority of Forbidden Zone Data Hiding. Selective embedding is utilized in the proposed method to determine host signal samples suitable for data hiding. This method also contains a sequential management scheme in order to withstand frame drop and insert attacks. The proposed framework is tested by typical broadcast material against MPEG-2, H.264 compression, frame-rate conversion attacks, as well as other well-known video data hiding methods. The decoding error values are reported for typical system parameters. The simulation results indicate that the framework can be successfully utilized in video data hiding applications.

The video data hiding methods utilize uncompressed video data. Proposes a high volume transform domain data hiding in MPEG-2 videos. They apply QIM to low-frequency DCT coefficients and adapt the quantization parameter based on MPEG-2 parameters. Furthermore, they vary the embedding rate depending on the type of the frame. As a result, insertions and erasures occur at the decoder, which causes de-synchronization.
They utilize Repeat Accumulate (RA) codes in order to withstand erasures. Since they adapt the parameters according to type of frame, each frame is processed separately. RA codes are already applied in image data hiding. The adaptive block selection results in de-synchronization and they utilize RA codes to handle erasures. Insertions and erasures can be also handled by convolution codes. The authors use convolution codes at embedded. However, the burden is placed on the decoder. Multiple parallel Viterbi decoders are used to correct de-synchronization errors. However, it is observed that such a scheme is successful when the number of selected host signal samples is much less than the total number of host Signal samples.

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