scholarly journals Providing Memory Management Abstraction for Self-Reconfigurable Video Processing Platforms

2009 ◽  
Vol 2009 ◽  
pp. 1-15 ◽  
Author(s):  
Kurt Franz Ackermann ◽  
Burghard Hoffmann ◽  
Leandro Soares Indrusiak ◽  
Manfred Glesner
Keyword(s):  
Video Processing ◽  
Memory Management ◽  
Video Data ◽  
Data Streaming ◽  
Dynamically Reconfigurable ◽  
Uniform Interface ◽  
Reconfigurable Processing ◽  
Sdram Controller ◽  
Place And Route ◽  
Multiple Clients

This paper presents a concept for an SDRAM controller targeting video processing platforms with dynamically reconfigurable processing units (RPUs). A priority-arbitration algorithm provides the required QoS and supports high bit-rate data streaming of multiple clients. Conforming to common video data structures the controller organizes the memory in partitions, frames, lines, and pixels. The raised level of abstraction drastically reduces the complexity of clients' addressing logic. Its uniform interface structure facilitates instantiations in systems with various clients. In addition to SDRAM controllers for regular applications, special demands of reconfigurable platforms have to be satisfied. The aim of this work is to minimize the number of required bus macros leading to relaxed place and route constraints and reducing the number of critical design paths. A suitable interface protocol is presented, and fundamental implementation issues are outlined.

Bayes Performance of Batch Data Mining Based on Functional Dependencies

2019 ◽  
Vol 33 (03) ◽  
pp. 1959011
Author(s):  
Haixu Xi ◽  
Feiyue Ye ◽  
Sheng He ◽  
Yijun Liu ◽  
Hongfen Jiang
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Video Processing ◽  
Mining Area ◽  
Batch Processing ◽  
Video Data ◽  
Batch Processes ◽  
Functional Dependencies ◽  
Workflow System ◽  
Traffic Video

Batch processes and phenomena in traffic video data processing, such as traffic video image processing and intelligent transportation, are commonly used. The application of batch processing can increase the efficiency of resource conservation. However, owing to limited research on traffic video data processing conditions, batch processing activities in this area remain minimally examined. By employing database functional dependency mining, we developed in this study a workflow system. Meanwhile, the Bayesian network is a focus area of data mining. It provides an intuitive means for users to comply with causality expression approaches. Moreover, graph theory is also used in data mining area. In this study, the proposed approach depends on relational database functions to remove redundant attributes, reduce interference, and select a property order. The restoration of selective hidden naive Bayesian (SHNB) affects this property order when it is used only once. With consideration of the hidden naive Bayes (HNB) influence, rather than using one pair of HNB, it is introduced twice. We additionally designed and implemented mining dependencies from a batch traffic video processing log for data execution algorithms.

scholarly journals Implementation of a camera system using nios II on the altera DE2-70 board

2019 ◽  
Vol 14 (2) ◽  
pp. 513
Author(s):  
Chan Boon Cheng ◽  
Asral Bahari Jambek
Keyword(s):  
Video Processing ◽  
Random Access ◽  
Camera System ◽  
Embedded Processor ◽  
Nios Ii ◽  
Development Platform ◽  
Quartus Ii ◽  
Field Programmable ◽  
Sdram Controller ◽  
Recorded Image

The implementation of a camera system with a field programmable gate array (FPGA) is an important step within research towards constructing a video processing architecture design based on FPGA. This paper presents the design and implementation of a camera system using the Nios II soft-core embedded processor from Altera. The proposed camera system is a flexible platform for the implementation of other systems such as image processing and video processing. The system architecture is designed using the Quartus II SOPC Builder System and implemented on an Altera DE2-70 development platform. The image or video is captured using a Terasic TRDB-D5M camera and stored into two different synchronous dynamic random access memories (SDRAM) using an SDRAM Controller. The specifications of the Terasic TRDB-D5M and SDRAM are examined to confirm that the recorded and stored data match. The results of this experiment show that the system is able to record and store data correctly into SDRAM. The data in the SDRAM correctly displays the recorded image on a VGA monitor.

Parallel-Pipelined Video Processing in Multicore Heterogeneous Systems on Chip

2021 ◽  
Vol 26 (2) ◽  
pp. 172-183
Author(s):  
E.S. Yanakova ◽  
◽  
G.T. Macharadze ◽  
L.G. Gagarina ◽  
A.A. Shvachko ◽  
...  
Keyword(s):  
Video Processing ◽  
High Efficiency ◽  
Heterogeneous Systems ◽  
Video Data ◽  
System Level ◽  
Video Information ◽  
Systems On Chip ◽  
The Face ◽  
Parallel Pipelined ◽  
On Chip

A turn from homogeneous to heterogeneous architectures permits to achieve the advantages of the efficiency, size, weight and power consumption, which is especially important for the built-in solutions. However, the development of the parallel software for heterogeneous computer systems is rather complex task due to the requirements of high efficiency, easy programming and the process of scaling. In the paper the efficiency of parallel-pipelined processing of video information in multiprocessor heterogeneous systems on a chip (SoC) such as DSP, GPU, ISP, VDP, VPU and others, has been investigated. A typical scheme of parallel-pipelined processing of video data using various accelerators has been presented. The scheme of the parallel-pipelined video data on heterogeneous SoC 1892VM248 has been developed. The methods of efficient parallel-pipelined processing of video data in heterogeneous computers (SoC), consisting of the operating system level, programming technologies level and the application level, have been proposed. A comparative analysis of the most common programming technologies, such as OpenCL, OpenMP, MPI, OpenAMP, has been performed. The analysis has shown that depend-ing on the device finite purpose two programming paradigms should be applied: based on OpenCL technology (for built-in system) and MPI technology (for inter-cell and inter processor interaction). The results obtained of the parallel-pipelined processing within the framework of the face recognition have confirmed the effectiveness of the chosen solutions.

scholarly journals SIAT: A Distributed Video Analytics Framework for Intelligent Video Surveillance

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 911 ◽  
Author(s):  
Md Azher Uddin ◽  
Aftab Alam ◽  
Nguyen Anh Tu ◽  
Md Siyamul Islam ◽  
Young-Koo Lee
Keyword(s):  
Distributed Computing ◽  
Real Time ◽  
Video Surveillance ◽  
Video Processing ◽  
Large Scale ◽  
Distributed Processing ◽  
Content Management ◽  
Video Data ◽  
Video Analytics ◽  
Intelligent Video Surveillance

In recent years, the amount of intelligent CCTV cameras installed in public places for surveillance has increased enormously and as a result, a large amount of video data is produced every moment. Due to this situation, there is an increasing request for the distributed processing of large-scale video data. In an intelligent video analytics platform, a submitted unstructured video undergoes through several multidisciplinary algorithms with the aim of extracting insights and making them searchable and understandable for both human and machine. Video analytics have applications ranging from surveillance to video content management. In this context, various industrial and scholarly solutions exist. However, most of the existing solutions rely on a traditional client/server framework to perform face and object recognition while lacking the support for more complex application scenarios. Furthermore, these frameworks are rarely handled in a scalable manner using distributed computing. Besides, existing works do not provide any support for low-level distributed video processing APIs (Application Programming Interfaces). They also failed to address a complete service-oriented ecosystem to meet the growing demands of consumers, researchers and developers. In order to overcome these issues, in this paper, we propose a distributed video analytics framework for intelligent video surveillance known as SIAT. The proposed framework is able to process both the real-time video streams and batch video analytics. Each real-time stream also corresponds to batch processing data. Hence, this work correlates with the symmetry concept. Furthermore, we introduce a distributed video processing library on top of Spark. SIAT exploits state-of-the-art distributed computing technologies with the aim to ensure scalability, effectiveness and fault-tolerance. Lastly, we implant and evaluate our proposed framework with the goal to authenticate our claims.

Image Features from Morphological Scale-Spaces

2011 ◽  
pp. 32-79
Author(s):  
Sébastien Lefèvre
Keyword(s):  
Data Mining ◽  
Performance Evaluation ◽  
Video Processing ◽  
State Of The Art ◽  
Image Features ◽  
Video Data ◽  
Multimedia Data ◽  
Multimedia Data Mining ◽  
Shot Detection ◽  
Scale Spaces

Video processing and segmentation are important stages for multimedia data mining, especially with the advance and diversity of video data available. The aim of this chapter is to introduce researchers, especially new ones, to the “video representation, processing, and segmentation techniques”. This includes an easy and smooth introduction, followed by principles of video structure and representation, and then a state-of-the-art of the segmentation techniques focusing on the shot-detection. Performance evaluation and common issues are also discussed before concluding the chapter.

Applied Research of Assessment Methods on Video Quality

2012 ◽  
Vol 262 ◽  
pp. 157-162
Author(s):  
Chong Gu ◽  
Zhan Jun Si
Keyword(s):  
Video Processing ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Video Quality ◽  
Objective Evaluation ◽  
Video Data ◽  
Assessment System ◽  
Video Encoding ◽  
High Definition

With the rapid development of modern video technology, the range of video applications is increasing, such as online video conferencing, online classroom, online medical, etc. However, due to the quantity of video data is large, video has to be compressed and encoded appropriately, but the encoding process may cause some distortions on video quality. Therefore, how to evaluate the video quality efficiently and accurately is essential in the fields of video processing, video quality monitoring and multimedia video applications. In this article, subjective, and comprehensive evaluation method of video quality were introduced, a video quality assessment system was completed, four ITU recommended videos were encoded and evaluated by Degradation Category Rating (DCR) and Structural Similarity (SSIM) methods using five different formats. After that, comprehensive evaluations with weights were applied. Results show that data of all three evaluations have good consistency; H.264 is the best encoding method, followed by Xvid and wmv8; the higher the encoding bit rate is, the better the evaluations are, but comparing to 1000kbps, the subjective and objective evaluation scores of 1400kbps couldn’t improve obviously. The whole process could also evaluate new encodings methods, and is applicable for high-definition video, finally plays a significant role in promoting the video quality evaluation and video encoding.

Optimization of Storage Method for Video Segment Captured by Embedded System in Camera

2011 ◽  
Vol 268-270 ◽  
pp. 2116-2120
Author(s):  
Wei Yan
Keyword(s):  
Embedded System ◽  
Video Surveillance ◽  
Video Processing ◽  
Continuous Monitoring ◽  
Video Data ◽  
Video Segment ◽  
Fixed Size ◽  
Storage Method ◽  
The Embedded System ◽  
Cache Capacity

Video processing and cache capacity in embedded system in camera is the key to decide intelligence of shooting system. In particular, to meet the demand for continuous monitoring in video surveillance environment, the embedded system must be able to store the video in case of failure in network or server. In this paper, a storage method for videos with fixed size is proposed, which can effectively restrain occurrence of fragment during storage and raise I/O performance while ensuring continuity of monitoring. Furthermore, storage of video data based on H.264/AVC encoding system and its optimization are also discussed.

A Method to Estimate the Multimedia Communication Bands Based upon Multi-Order Markov Model

2007 ◽  
Vol 11 (6) ◽  
pp. 655-661
Author(s):  
Tetsuya Kojima ◽  
◽  
Lkhamsuren Enkhtur ◽  
Akiko Fujiwara ◽  
Masahiro Aono ◽  
...  
Keyword(s):  
Markov Model ◽  
Multimedia Communication ◽  
Streaming Video ◽  
Video Data ◽  
Data Streaming ◽  
Quantization Method ◽  
Future Studies ◽  
Transmission Rates ◽  
Optimal Quantization ◽  
Total Data

Surplus bands inevitably occur in the multimedia communication bands when VBR encoding is used for data streaming. These bands can be used efficiently by transmitting the other data such as a kind of additive static contents at the same time. However, there are some delays for adding the data, so that the transmission rates of the total data frequently exceed the maximum communication band. This is because each surplus bandwidth is calculated from the formerly observed data. We have proposed a method to estimate the surplus bandwidth by using the multi-order Markov model together with the quantization of the bandwidth. In this paper, we investigate the optimal quantization method for a given streaming video data. In addition, the effectiveness of the proposed method is evaluated under the optimal quantization settings. Discussions for some problems in future studies are also included.

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