Design and Implementation of a Software Presenting Information in DVB Subtitles in Various Forms

Yıldırım, Kasım Sinan; Uğur, Aybars; Kinaci, Ahmet Cumhur

doi:10.1109/tce.2007.4429266

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…One fundamental difficulty in learning the model is to deal with significant noise and clutter background factors. Learning meaningful features of digit character is a crucial step towards building general system that can be easily employed in higher level tasks such as identity verification [1], digital signature [2], and converting subtitle data into text format [3].…”

Section: Introductionmentioning

confidence: 99%

Robust Multi-Layer Hierarchical Model for Digit Character Recognition

Yang¹,

Sun²,

Zhang³

et al. 2015

Journal of Electrical Engineering and Technology

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-Although digit character recognition has got a significant improvement in recent years, it is still challenging to achieve satisfied result if the data contains an amount of distracting factors. This paper proposes a novel digit character recognition approach using a multi-layer hierarchical model, Hybrid Restricted Boltzmann Machines (HRBMs), which allows the learning architecture to be robust to background distracting factors. The insight behind the proposed model is that useful high-level features appear more frequently than distracting factors during learning, thus the high-level features can be decompose into hybrid hierarchical structures by using only small label information. In order to extract robust and compact features, a stochastic 0-1 layer is employed, which enables the model's hidden nodes to independently capture the useful character features during training. Experiments on the variations of Mixed National Institute of Standards and Technology (MNIST) dataset show that improvements of the multi-layer hierarchical model can be achieved by the proposed method. Finally, the paper shows the proposed technique which is used in a real-world application, where it is able to identify digit characters under various complex background images.

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Section: Introductionmentioning

confidence: 99%

Robust Multi-Layer Hierarchical Model for Digit Character Recognition

Yang¹,

Sun²,

Zhang³

et al. 2015

Journal of Electrical Engineering and Technology

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“…Taking TV consuming for example, the TV content can be analyzed or post-processed for various applications except live TV consuming. In some scenarios, the text messages in TV frames can be detected or extracted and then used to provide the channel information (Wen et al 2008), and the subtitles in broadcasted TV can be extracted or recognized and used to provide automatic presentation for blind TV users (Yildirim et al 2007). Additionally, the live TV programs can be recorded, classified into various types, and then consumers playback them selectively according to their interests (Dogan and Erol 2006).…”

Section: Introductionmentioning

confidence: 99%

Automatic and fast temporal segmentation for personalized news consuming

Dong

Lian

2010

Inf Syst Front

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Automatic news program segmentation and classification becomes a hot topic, which reorganizes the news program according to the news' topics, and provides the on-demand services to mobile consumers or Internet/ home TV consumers. This paper presents a personalized news consuming system, including the system architecture, consumption steps and key techniques. Then, focused on the core technique, i.e., video temporal segmentation, the automatic video temporal segmentation method is proposed, evaluated and compared with existing ones. Experimental results show that the proposed scheme is computational efficient and gets higher correct detection rate. These properties make it a suitable choice for the personalized news consuming system.

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“…The video character/text overlay generator [19], [20] is suitable for the display of closed caption or subtitles, user menus, status or error information, time-code or channel identifiers. The character generator structure contain a character ROM, keyboard interface circuit and display control, all these blocks are working parallel.…”

Section: Introductionmentioning

confidence: 99%

“…The luminance level, character size of the character and the background are programmable. This circuit is useful in several real-time applications like clock, stock ticker and subtitling [19]. The speed of stock ticker, display position and size of the display are easily controllable.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Video Filtering and Overlay Character Generation on FPGA

Chacko¹,

Shelly²

2010

2010 International Conference on Recent Trends in Information, Telecommunication and Computing

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Real-time video processing is a rapidly evolving field with growing applications in science and engineering. Portable video processing systems require design which reduces the power, memory usage, and resource utilization while maintaining real-time operation. General system architecture for real-time video filtering and overlay character generation, based on a Field Programmable Gate Array (FPGA) is presented and evaluated. After initial configuration over the parallel port connection, the video codec dumps a stream of pixels in ITU-R BT.656 format, 8-bits per component with sync signals, using a sampling clock of 27 MHz. This stream is then fed to a series of filters, format conversion and overlay character generator. Finally, the Video Graphics Array (VGA) generator receives the pixel stream and displays it on a monitor. The implemented design includes filters of different functions and character generator with keyboard interface. The real-time of application like stock ticker and time display are also demonstrated. The VHDL codes for the architecture were synthesized using Xilinx ISE 10.1 and targeted for Xilinx Spartan3E FPGA. The results show that this design gives good performance with short processing time, low resource utilization, small power consumption and memory usage.

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Design and Implementation of a Software Presenting Information in DVB Subtitles in Various Forms

Cited by 5 publications

References 7 publications

Robust Multi-Layer Hierarchical Model for Digit Character Recognition

Robust Multi-Layer Hierarchical Model for Digit Character Recognition

Automatic and fast temporal segmentation for personalized news consuming

Real-Time Video Filtering and Overlay Character Generation on FPGA

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