AVI Video File Research Articles

РАЗРАБОТКА АЛГОРИТМА ВСТРАИВАНИЯ И ИЗВЛЕЧЕНИЯ ЦИФРОВЫХ ВОДЯНЫХ ЗНАКОВ ДЛЯ ВИДЕОФАЙЛОВ AVI-ФОРМАТА

Nowadays authors of cinematographic works are often faced to protect copyright need. One way to resolve such an issue is to use digital watermarks. Digital watermarks are some kind of encrypted message that allows distinguishing the original work from its forgery. At the same time the audio or video file with a built-in message looks no different from a file without a digital watermark, what is a key advantage of its use and at the same time it makes difficult to playback the file illegally. A set of methods for undetectable hiding some bit sequences in others is called digital steganography. An important advantage of steganography over cryptographic methods is the hiding the fact of embedding a code message. Embedding digital watermarks by using the least significant bit method allows embedding a digital watermark in such a way that a person will not notice any changes in the video file. The article considers the known methods of embedding digital watermarks and the structure of the AVI file format. It presents an algorithm for embedding and extracting digital watermarks for AVI video files based on LSB method with using hash-function. The algorithm provides a counteraction to the spread of counterfeit products.

Automatic reconstruction of deleted AVI video files composed of scattered and corrupted fragments

Video files of surveillance cameras frequently play a role of major evidence for criminals or accidents. But, if the video file containing the evidence is deleted, we need to recover it if possible. In this paper, we propose a recovery scheme for deleted video files with AVI format on FAT32 file system. The proposed scheme first recovers deleted video files from unallocated storage space exploiting both signatures of video frames and behaviours of file systems. The scheme finds fragments of deleted video files based on the start indicator of video frames or the file header signature, and connects the found fragments based on the file allocation patterns of FAT32 file system. Next, if a recovered video file is partially corrupted, the scheme automatically reconstructs the corrupted AVI video file so that the video file can be played back. The lost file header of the corrupted video file is reconstructed based on the file header of a reference video file, and the lost data multimedia data is filled with zero. Through practical implementation, we show that the proposed scheme recovers deleted video files from unallocated storage space and reconstructs corrupted AVI video files.

Gender-Based Customer Counting System Using Computer Vision for Retail Stores

The development of modern retail business is gradually getting faster, increasing the level of competition among retailers. The retailers are changing their business strategies to acquire new customers, maintain customer loyalty and improve customer service. One way to indicate the good market performance of a retail shop is to know the number and details of visitors based on gender. The number of visitors in retail shops can be observed by installing CCTV camera. In the existing shop system, CCTV used just for monitoring activities in the retail shop. Therefore, the data from the CCTV camera can be used to calculate the number of visitors based on gender automatically by utilizing computer vision. This study designed a system to count the number of female visitors through video data. The data acquisition process involved 89 people, 41 women and 48 men. The data are stored in .AVI video file format with a resolution of 720×1280 pixels. This system can be divided into three main stages, which are face detection using the Viola-Jones method, feature extraction using Gabor Filter 2D and classification using Support Vector Machine (SVM) method. The result of the study showed that the system can count the number of female and non-female visitors with an accuracy rate of 96.52%. The system performance will be improved by using another feature extraction and classification methods.

Hiding Text in AVI Video File by Method of Least Significant Bit

Hiding Text in AVI Video File by Method of Least Significant Bit

Video Steganography Using Knight Tour Algorithm and LSB Method for Encrypted Data

Abstract This paper aims to propose a method for data hiding in video by utilizing the least significant bit (LSB) method and improving it by utilizing the knight tour algorithm for concealing the data inside the AVI video file and using a key function encryption method for encrypting the secret message. First, the secret message is encrypted by utilizing a mathematical equation. The key used in the equation is a set of random numbers. These numbers differ in each implementation to warrant the safety of the hidden message and to increase the security of the secret message. Then, the cover video was converted from a set of frames into separated images to take the advantage of the large size of video file. Afterward, the knight tour algorithm is utilized for random selecting of the pixels inside the frame utilized for embedding the secret message inside it to overcome the shortcoming of the conventional LSB method that utilized the serial selection of pixel and to increase the robustness and security of the proposed method. Afterward, the encrypted secret message is embedded inside the selected pixels by utilizing the LSB method in bits (7 and 8). The observational results have drawn that the proposed method has a superior performance compared to the previous steganography method in terms of quality by a high PSNR of 67.3638 dB and the lowest MSE of 0.2578. Furthermore, this method preserves the security where the secret message cannot be drawn out without knowing the decoding rules.

Applying the Video Summarization Algorithm to Surveillance Systems

Surveillance systems are very popular today. Efficiently access the record image of surveillance system is an important research goal. This paper proposes a simple method to enhance the video image summarization. The video summarization production process in this paper is divided into intrusion detection of moving objects and time axis with animation output. The purpose is to improve the surveillance access efficiency of documentary video. In moving target detection section, a series of image processing method is applied for processing images. It is recognized as an invasion of moving object image storage. It will save the image production time code and mark the top left corner in the image. Finally, the summarization of both WMV and AVI video files are conducted in this paper.

Robot Visual Design with the Panorama Synthesis Function with Manufacturing Technology

Panorama synthesis is basis of the target tracking. Through the synthesis of panorama, can enlarge the visual range to capture for the cameras, in the big background, the suspicious target which needs to be tracked are more easily detected, then selects the target, and Tracks it. In the existing target tracking of robot integrated machine, adds panorama synthesis function and the suspicious target selection function, the target tracking runs only on selected target, make the tracking more targeted. In the Panorama synthesis module of the present system, there are two ways to obtain video stream that is real-time image stream from Cameras and the local AVI video file. Through the algorithm to judge the position relationship between two adjacent frames, finishes the image stitching, and displays panorama of the in the user interface in real time. By a particular target selection from users, complete moving object detection and tracking in motion camera environment. After the test, the system can meet the general needs of application oriented robot visual.

Augmented AVI video file for road surveying

This paper presents a novel video augmentation approach: a video recording of a real entity augmented by structured data. This augmented video is a self-contained entity integrating values of perceptible and non-perceptible attributes of the same real entity. It simplifies data search, storage and management. Streaming, sharing, collaboration and synchronization are also simplified by the fact that the structured data (so-called augmented data) are integrated in the video file and therefore only one file needs to be manipulated. Our approach was applied to address the issues which road engineers experience while using the ROad Measurement and Data Acquisition System (ROMDAS). The ROMDAS system collects and analyses the road-condition state through video recordings and the data corresponding acquired by specific measuring devices. Currently, however, road engineers have to search the videos manually in order to find details of interest provided by the analysis of the data measured due to the separation of the video from the data. The ROMDAS system manages a large collection of road-condition data. It does not offer history management of video recordings of the same road captured at different time. We present this hybrid video augmentation system: the Augmented Video stream Framework (AVF). It allows creation, search, history management and playback of such augmented video files for effective road surveying based on the discrete data recorded in parallel to the video recordings. The AVF provides road engineers with effective and more comfortable perceptible and non-perceptible data search, storage and history management to be used for (collaborative) road inspection and maintenance.

Animating ground water levels with Excel.

This note describes the use of Microsoft Excel macros (programs written in Excel's internal language, Visual Basic for Applications) to create simple onscreen animations of transient ground water data within Excel. Compared to many specialized visualization software packages, the use of Excel macros is much cheaper, much simpler, and can rapidly be learned. The Excel macro can also be used to create individual GIF files for each animation frame. This series of frames can then be used to create an AVI video file using any of a number of graphics packages, such as Corel PhotoPaint. The technique is demonstrated through a macro that animates changes in the elevation of a water table along a transect over several years.

Motion Simulation With Working Model 2D and MSC.visualNastran 4D

Motion Simulation With Working Model 2D and MSC.visualNastran 4D