Many videotexts exist in TV programs. Some videotexts provide valuable information. Thus, an efficient design to extract these videotexts is requested. Existing videotext extractors work on the PC platform and they are difficult to achieve real-time extraction and integration. Therefore, this work designs a videotext extractor on a dual-core platform. A distributed design framework for a dual-core platform is proposed. The extraction task is dispatched to the ARM and the DSP. The ARM core executes capture, display, control, and extraction threads. The DSP core performs algorithms. The ARM and the DSP communicate by buffers and solid channels. On the DSP side, some techniques are manipulated to optimize the videotext extractor. They include software pipeline, internal memory, adjusted program, assembly optimization, and DMA. To achieve high performance, two transferred schemes of DMA are proposed. This system is implemented on the TI Davinci DM6446 platform. All input videos are 720 x 480 with 30 fps captured from real-time DVB-T system. The simulation result shows that this extractor can process the large-size frames, and all the videotext can be extracted. With this novel architecture, the extraction speed can be enhanced to 23 frames per second.
This paper performs the analysis of structural videotext regions and proposes a videotext filter system on DSP platform. Although more videotext exists in the video content, usually some videotext is the advertisements and it is not needed for some people. Thus, a video completion filter is requested to remove the videotexts for various purposes. However, few existing methods can handle the completion of the original region occupied by motion videotext well due to the complex background of motion videotext. I n addition, the completed region should be generated as soon as possible based on the fast processing consideration. Thus, we design a fast and regular videotext region filter system to recover the original region occupied by the scrolling videotexts. The characteristic of the canny edge map of frames is utilized to form structural edge in the occupied region. The spatial texture region completion is carried out by our proposed video gradient interpolation approach. We have completed the whole system on TI C64xx DSP platform with some optimized techniques. The experimental results show that this videotext filter is accomplished as a stand-alone system for fast processing application.
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