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Adaptive Order Search And Tangent Weighted Trade Off For Motion Estimation In H.264

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Bachu, Srinivas (Author)
مؤلفين آخرين: Achari, K. Manjunath (Co-Author)
المجلد/العدد: مج30, ع2
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2018
الصفحات: 249 - 258
DOI: 10.33948/0584-030-002-010
ISSN: 1319-1578
رقم MD: 974403
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Block Motion Estimation | Square Search | Hexagon Search | H.264 | Video Coding
رابط المحتوى:
صورة الغلاف QR قانون
حفظ في:
LEADER 02380nam a22002417a 4500
001 1717189
024 |3 10.33948/0584-030-002-010 
041 |a eng 
044 |b السعودية 
100 |9 525608  |a Bachu, Srinivas  |e Author 
245 |a Adaptive Order Search And Tangent Weighted Trade Off For Motion Estimation In H.264 
260 |b جامعة الملك سعود  |c 2018 
300 |a 249 - 258 
336 |a بحوث ومقالات  |b Article 
520 |b Motion estimation and compensation play a major role in video compression to reduce the temporal redundancies of the input videos. A variety of block search patterns have been developed for matching the blocks with reduced computational complexity, without affecting the visual quality. In this paper, block motion estimation is achieved through integrating the square as well as the hexagonal search patterns with adaptive order. The proposed algorithm is called, AOSH (Adaptive Order Square Hexagonal Search) algorithm, and it finds the best matching block with a reduced number of search points. The searching function is formulated as a trade-off criterion here. Hence, the tangent-weighted function is newly developed to evaluate the matching point. The proposed AOSH search algorithm and the tangent-weighted trade-off criterion are effectively applied to the block estimation process to enhance the visual quality and the compression performance. The proposed method is validated using three videos namely, football, garden and tennis. The quantitative performance of the proposed method and the existing methods is analysed using the Structural SImilarity Index (SSIM) and the Peak Signal to Noise Ratio (PSNR). The results prove that the proposed method offers good visual quality than the existing methods. 
653 |a الوسائط المتعددة  |a التشفير  |a الفيديو 
692 |b Block Motion Estimation  |b Square Search  |b Hexagon Search  |b H.264  |b Video Coding 
700 |9 525609  |a Achari, K. Manjunath  |e Co-Author 
773 |c 010  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 002  |m مج30, ع2  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 030  |x 1319-1578 
856 |u 0584-030-002-010.pdf 
930 |d y  |p y 
995 |a science 
999 |c 974403  |d 974403 

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