Hiding Data in Videos Using Optimal Selection of Key-Frames

Video steganography is the technique where the users keep their data secret, which also embeds and extracts the data. It has lots of information stored in each and every frame. Moreover, the particular key-frames in each video are extracted using the average threshold algorithm. The data is hidden inside the least bit of the selected key frames. The presence of message in video will not be visible by attackers since it is available only for a fraction of time. Using this methodology, the performance of video steganography has been increased effectively.

[1]  D. Coquin,et al.  Animation Movie Abstraction: Key Frame Adaptative Selection Based on Color Histogram Filtering , 2007, 14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007).

[2]  T. Sree Sharmila,et al.  Efficient analysis of hybrid directional lifting technique for satellite image denoising , 2014, Signal Image Video Process..

[3]  Gao Xinbo,et al.  A graph-theoretical clustering based anchorperson shot detection for news video indexing , 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.

[4]  T. Sree Sharmila,et al.  Comparative Analysis of satellite Image pre-Processing Techniques , 2013, J. Comput. Sci..

[5]  Andreas Pfitzmann,et al.  Attacks on Steganographic Systems , 1999, Information Hiding.

[6]  Kazimierz Choros.  Temporal Aggregation of Video Shots in TV Sports News for Detection and Categorization of Player Scenes , 2013, ICCCI.

[7]  P. R. Deshmukh,et al.  Data Hiding using Video Steganography , 2014 .

[8]  Jessica J. Fridrich,et al.  Practical steganalysis of digital images: state of the art , 2002, IS&T/SPIE Electronic Imaging.

[9]  Kamred Udham Singh.  Video Steganography: Text Hiding In Video By LSB Substitution , 2014 .

[10]  Sree Sharmila Thangaswamy,et al.  Developing an efficient technique for satellite image denoising and resolution enhancement for improving classification accuracy , 2013 .

[11]  Shin'ichi Satoh,et al.  Key Image Extraction from a News Video Archive for Visualizing Its Semantic Structure , 2004, PCM.

[12]  Daniel R. Jeske,et al.  Mean Squared Error of Estimation or Prediction under a General Linear Model , 1992 .

[13]  Kazimierz Choros,et al.  Categorization of Sports Video Shots and Scenes in TV Sports News Based on Ball Detection , 2014, ACIIDS.

[14]  Kazimierz Choros,et al.  Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News , 2010, RSCTC.

[15]  Ling Chen,et al.  Automatic key frame extraction in continuous videos from construction monitoring by using color, texture, and gradient features , 2017 .

[16]  Shamim Ahmed Laskar,et al.  A Review on Image Steganalysis techniques for Attacking Steganography , 2014 .

[17]  Anand Singh Jalal,et al.  A framework for key frame extraction from surveillance video , 2014, 2014 International Conference on Computer and Communication Technology (ICCCT).

[18]  Jessica J. Fridrich,et al.  Detecting LSB Steganography in Color and Gray-Scale Images , 2001, IEEE Multim..

[19]  Shin'ichi Satoh,et al.  Exploiting Topic Thread Structures in a News Video Archive for the Semi-Automatic Generation of Video Summaries , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[20]  Nada Elya Tawfiq Nada Elya Tawfiq.  Hiding Text within Image Using LSB Replacement , 2013 .

[21]  Wei-Han Chang,et al.  Template-Based Scene Classification for Baseball Videos Using Efficient Playfield Segmentation , 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

[22]  Chia-Hung Yeh,et al.  Techniques for movie content analysis and skimming: tutorial and overview on video abstraction techniques , 2006, IEEE Signal Processing Magazine.

[23]  T. S. R. Raja,et al.  Impact of applying pre-processing techniques for improving classification accuracy , 2014, Signal Image Video Process..

[24]  R. Plackett,et al.  Introduction to Statistical Analysis. , 1952 .

[25]  Mubarak Shah,et al.  Scene detection in Hollywood movies and TV shows , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..