Blob

Reliable object tracking at video speed is a task that requires high performance. We have analyzed the various parts of typical algorithms and found that some parts of program flows are best performed on a parallel platform for performance reasons and other parts are better performed on a ...

The image is uploaded in mysql database, blob column. After the image is saved in the database, It's displayed instantly on your browser next to the le upload input box. To select image from the computer i have used html form. As you know, mostly images are uploaded or inserted in specic folder in the server and its name stored in mysql database or any database. Well,

Human action recognition and detection is very important in many application specially in security for monitoring and surveillance systems, for interacting field such as games, and interacting application, in this paper has focused on showing the challenges of capturing the video such as lighting, noise, scaling that exist in KTH data set, the propose method extracted corner, blob, and ridge interest point, as mention that all challenge of KTH has been tested, so the numbers of enter data are huge that's why the classification method has choosing is K-Nearest-neighbor(KNN) which works well with big data. The accuracy is 90% with this propose algorithm.

The paper discusses the feasibility of constructing a SQL Server FILESTREAM based English Language Learning System (ELLS). The paper focuses on the Implementation phase of the system. It explains the prospect of storing and managing unstructured data (e.g. Images, video, Word, Excel, PDF, MP3, etc) for educational purposes utilizing FILESTREAM technique provided by SQL Server 2012, and explains how to maintain efficient storage and access to BLOB data. However, Storing unstructured data posed many challenges, such as how to maintain transactional consistency between the structured and unstructured data, how to manage backup, restore, and storage performance. The paper seeks to utilize the combination of SQL Server 2012 features and the NTFS (New Technology File System) to improve the efficiency and performance of the ELLS system for children. The system also seeks to maintain the transactional consistency between the unstructured data and corresponding structured data. Furthermore, the system allows the user to customize some operations such as creating, updating and deleting photos, videos or audios in the database. The system supports some maintenance operations such as backup, restore, and consistency checking.

The paper discusses the feasibility of constructing a SQL Server FILESTREAM based English Language Learning System (ELLS). The paper focuses on the Implementation phase of the system. It explains the prospect of storing and managing unstructured data (e.g. Images, video, Word, Excel, PDF, MP3, etc) for educational purposes utilizing FILESTREAM technique provided by SQL Server 2012, and explains how to maintain efficient storage and access to BLOB data. However, Storing unstructured data posed many challenges, such as how to maintain transactional consistency between the structured and unstructured data, how to manage backup, restore, and storage performance. The paper seeks to utilize the combination of SQL Server 2012 features and the NTFS (New Technology File System) to improve the efficiency and performance of the ELLS system for children. The system also seeks to maintain the transactional consistency between the unstructured data and corresponding structured data. Furthermore, ...