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Volumn 6352 LNCS, Issue PART 1, 2010, Pages 569-574

No-reference video quality assessment design framework based on modular neural networks

Author keywords

[No Author keywords available]

Indexed keywords

BITRATES; DESIGN FRAMEWORKS; MODEL VERIFICATION; MODULAR NEURAL NETWORKS; MPEG-2 VIDEO; NO REFERENCES; NON-LINEAR; OBJECTIVE MEASURE; PERFORMANCE IMPROVEMENTS; PERFORMANCE TESTING; STATISTICAL MEASURES; STATISTICAL MODELING; VIDEO CONTENTS; VIDEO QUALITY ASSESSMENT; VISUAL PERCEPTION;

EID: 78049372390     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15819-3_74     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 2
    • 33749641370 scopus 로고    scopus 로고
    • An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks
    • Babu, R. V., Perkis, A.: An HVS-based no-reference Perceptual Quality Assessment of JPEG Coded Images Using Neural Networks. In: IEEE Int. Conference on Image Processing, vol. 1, pp. 433-436 (2005)
    • (2005) IEEE Int. Conference on Image Processing , vol.1 , pp. 433-436
    • Babu, R.V.1    Perkis, A.2
  • 9
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Kittler, J., Roli, F. eds., MCS 2000. Springer, Heidelberg
    • Dietterich, T. G.: Ensemble Methods in Machine Learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 1-15. Springer, Heidelberg (2000)
    • (2000) LNCS , vol.1857 , pp. 1-15
    • Dietterich, T.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.