رهيافت جديد براي اصلاح روش حفاظت خطاي نابرابر (UEP) در ارسال ويدئو روي شبکه‌هاي بي‌سيم
محورهای موضوعی : مهندسی برق و کامپیوترحسین قانعی یخدان 1 , مرتضی خادمی 2 , جلیل چيتي‌زاده 3
1 - دانشگاه یزد
2 - دانشگاه فردوسی مشهد
3 - دانشگاه فردوسی مشهد
کلید واژه: شبکه‌هاي بي‌سيمويدئوي 4-MPEGبهبود خطاUEP,
چکیده مقاله :
کارآيي ارسال ويدئوي فشرده‌شده روي شبکه‌هاي بي‌سيم توسط نويز کانال محدود شده و کيفيت ويدئوي دريافتي به‌شدت ضعيف مي‌گردد. از اين رو چندين ابزار بهبود‌پذيري خطا به استاندارد فشرده‌ساز ويدئوي 4-MPEG اضافه شده است. علاوه بر اين ابزارها، شيوه حفاظت خطاي نابرابر (UEP) به‌منظور حفاظت بيشتر بخش‌هاي مختلف در بسته ويدئوي 4-MPEG با نرخ‌هاي کدگذاري متفاوت بر پايه کدهاي RCPC پيشنهاد شده است. با اين حال، تلاش‌هاي صورت‌گرفته تاکنون براي شبکه‌هاي بي‌سيم هنوز براي داشتن کيفيت مطلوب، کافي نمي‌باشد. در اين مقاله، براي مقاوم‌کردن هرچه بيشتر ارسال ويدئوي 4-MPEG روي شبکه‌هاي بي‌سيم، رهيافت حفاظت خطاي نابرابر اصلاح‌شده (MUEP) بر پايه محتواي صحنه ويدئو پيشنهاد مي‌گردد. در روش پيشنهادي، نرخ خروجي کد‌کننده کانال براي بخش حرکت بسته ويدئوي 4-MPEG بر اساس محتواي حرکت داخل صحنه ويدئو تعيين مي‌شود. نتايج تجربی نشان می‌دهد که در روش پیشنهادی علاوه بر افزایش میانگین PSNR تا مقدار dB 5/1 نسبت به روش UEP سنتی، کیفیت ذهنی ویدئوی دریافتی نیز ارتقا می‌یابد.
The performance of video transmission over wireless channels is limited by the channel noise. Thus many error resilient tools have been incorporated into the MPEG-4 video compression method. In addition to these tools, the unequal error protection (UEP) technique has been proposed to protect the different parts in a MPEG4 video packet with different channel coding rates based on the rate compatible punctured convolutional (RCPC) codes. However, it is still not powerful enough to achieve a high visual quality over the wireless networks. To provide more robust MPEG-4 video transmission over wireless channels, this paper proposes a modified unequal error protection (MUEP) approach based on the content of the video scene. In proposed technique, channel coding rates for motion section of the video packet are determined based on the motion of the video scene. Experimental results show that the proposed technique enhances both subjective visual quality and PSNR about 1.5 dB, comparing to the traditional UEP method.
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