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Video data watermarking becomes very essential due to digital broadcasting. Scene change detection is the initial step, required for the digital video data copy protection. This paper presents novel scene change detection algorithm based on successive estimation of statistical measure [SESAME] and HiBiSLI algorithm. The designed system detects the scene change using, covariance difference between the measures of each frame is considered. Successive difference between the statistical measures of frames are used and the difference is compared with a pre-difference value. A new algorithm, a combination of histograms, binary search and linear interpolation [HiBiSLI] filtering algorithm is introduced to filter out similar frames at the initial stage. The filtering method uses calculated threshold value. Scene detection algorithm uses ffmpeg as reference to calculate different parameter values. The performance of the designed system is evaluated using precision, recall, F-measure values and computation time. The experimental result proves that the designed system is well good in terms of its computational time, low complexity and better parameter values.

This paper presents a robust digital video-watermarking system for copyright and copy protection. The proposed method applies the combination of discrete wavelet transform (DWT) and scene-change-detector. For better understanding, this approach can be presented in the form of four stages. The first stage is finding the frame where the watermark is to be inserted. The analysis of watermarking using the level-3 decomposition of LL subband withDWTis described in the second stage. Transparency and the robustness have been analyzed under fifteen different attacks in the third stage. Improvement in the robustness and transparency, as compare to watermarking using different levels of LL subband is calculated in terms of the normalized correlation and the structural similarity index in the fourth stage. The experimental result reveal that the proposed method yields the extracted watermark image and watermarked video of good quality and can sustain different image processing, JPEG compression and geometrical attacks. Empirical results prove the improvement in the performance as the decomposition level increases from level-1 to level-3. Comparative analysis with the existing schemes proves the improved robustness, better imperceptibility and the reduced computational time of the proposed scheme.

Digital watermarking can be used to prevent the illegal piracy of copyrighted digital video content. However to be successful as one of the application in the digital cinema, it must be imperceptibly embedded, reliably retrieved, secure against illicit removal. This paper proposes a novel watermarking technique for digital motion content in light of scene change detection using the discrete wavelet transform (DWT). To reduce the computational time, a watermark has been embedded in scene-changed frame. The scene-changed frames are detected by successive estimation of statistical measure technique, where the correlation is utilized as a measure. The performance of the proposed system has been analyzed using the mean square error, normalized correlation, bit error rate, and the similarity index. Empirical results reveal that the proposed method is greatly improved in comparison with the customary techniques in terms of the imperceptibility, recovery after the show capture with camcorder, speed and robustness under various attacks, such as the noise addition, Gaussian low pass filtering, geometrical shift, sharpening, and video attacks in the application of digital cinema. Since an illegal copy of the movie obtained by camcorder affects the geometrical features, in particular, the system has been tested and found to be resilient against geometrical attacks under various conditions.

the last few years different video-surveillance systems have been developed based on video processing and using different techniques. This surveillance system generally seeks to track people (and/or vehicles) moving through a scene, to classify the behaviors of each track, and to identify whether these behaviors can be considered normal or abnormal. All Automated surveillance systems require some mechanism to detect interested objects in the field of view of the sensor. Once objects are detected, the further processing for tracking. In my paper a method is described for tracking moving objects from a sequence of video frame. This method is implemented by using optical flow (Horn-Schunck) and Region filtering in matlab simulink. The objective of this paper is to identify and track a moving object within a video sequence for both Abrupt change video as well as Gradual change video in video surveillance.

In this paper, we present a semi real-time vehicle tracking algorithm to determine the speed of the vehicles in traffic from traffic cam video. The results of this work can be used for traffic control, security and safety both by government agencies and commercial organizations. In this paper a method is described for tracking moving objects from a sequence of video frame. This method is implemented by using optical flow (Horn-Schunck)and (Lucas-Kanade) in mat lab and Simulink. It has a variety of uses, some of which are: human computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing. Segmentation is performed to detect the object after reducing the noise from that scene. The object is tracked by plotting a rectangular bounding box around it in each frame. The velocity of the object is determined by calculating the distance that the object moved in a sequence of frames with respect to the frame rate that the video is recorded. Comparison and performance analysis of algorithms based on psnr and average angular error is done.

With the advent of digital video and digital broadcasting, watermarking of video data has been one of the important issues. Scene change detection (SCD) is one of several fundamental problems in the design of video watermarking. It is the first step towards automatic segmentation, annotation, and indexing of video data. SCD is also used in other aspects of watermarking i.e. copy-protection, copyright-protection of videos. Therefore, for the copy-protection of video using watermarking, scene change detection is an important step. In this paper we provide classification and comparison of different scene change detection techniques & algorithms.

DIGITAL WATERMARKING IS THE PROCESS OF EMBEDDING INFORMATION INTO A DIGITAL SIGNAL, I.E. AUDIO , PICTURES , VIDEO , ETC . EMBEDDED MARKS IN THE MESSAGE ARE GENERALLY IMPERCEPTIBLE BUT CAN BE DETECTED OR EXTRACTED. THE EMBEDDING TAKES PLACE BY MANIPULATING THE CONTENT OF THE DIGITAL DATA , WHICH MEANS THE INFORMATION IS NOT EMBEDDED IN THE FRAME AROUND THE DATA . IF THE SIGNAL IS COPIED , THEN THE EMBEDDED INFORMATION IS ALSO IN THE COPY . BY IMPERCEPTIBLY HIDING INFORMATION INTO THE VIDEO CONTENT IT WILL BE POSSIBLE TO PREVENT COPYING OR PLAYBACK OF SUCH CONTENT . SO , WATERMARKING IS AN EMERGING TECHNOLOGY THAT IS CLAIMED TO HAVE AN IMPORTANT APPLICATION IN COPY PROTECTION . A VARIETY OF WATERMARKING TECHNIQUES HAVE BEEN PROPOSED BY RESEARCHERS FOR THE COPY -PROTECTION . THIS PAPER PRESENTS AN EXTENSIVE REVIEW OF THE PREVAILING LITERATURE IN WATERMARKING FOR COPY PROTECTION .

This paper presents a novel velocity estimation method for ground vehicles. The task here is to automatically estimate vehicle speed from video sequences acquired with a fixed mounted camera. The vehicle motion is detected and tracked along the frames using Lucas-Kanade algorithm. The distance traveled by the vehicle is calculated using the movement of the centroid over the frames and the speed of the vehicle is estimated. The average speed of cars is determined from various frames. The application is developed using MATLAB and SIMULINK.

The invisible watermark has many applications including video authentication, copy protection, broadcast monitoring, fingerprinting, enhanced video coding etc. Digital watermarking is a technology used for the copy protection of digital application. In this paper, a blind video watermarking scheme based on discrete wavelet transform (DWT) is proposed. 2-D DWT is performed in each frame of the original video. Then watermark embed into low frequency coefficients i.e. LL sub bands. Frequency sub divisions are performed by using Dyadic filter. To check effectiveness of the watermarked video, Peak Signal to Noise Ratio, Mean Square Error, Normalized Mean Square, Absolute Mean Square Error parameters are used. The designed system's effectiveness is checked and tested using different wavelets.

Digital watermarking is the process of embedding information into a digital signal, i.e. audio, pictures, video, etc. Embedded marks in the message are generally imperceptible but can be detected or extracted. By imperceptibly hiding information into the video content it is possible to provide copy protection .The embedding takes place by manipulating the content of the digita l data, which means the information is not embedded in the frame around the data. If the signal is copied, then the embedded information is also in the copy. So, Watermarking is an emerging technology that is claimed to have an important application in copy protection. A variety of watermarking techniques have been proposed by researchers for the copy-protection. This paper presents an extensive review of the prevailing literature in watermarking for copy protection.