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1دورية أكاديمية
المؤلفون: Daniel Joseph Ringis, Vibhoothi, François Pitié, Anil Kokaram
المصدر: Frontiers in Signal Processing, Vol 3 (2023)
مصطلحات موضوعية: video coding, compression, optimisation, AV1, HEVC, rate-distortion optimisation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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2
المؤلفون: Vibhoothi ., François Pitié, Angeliki Katsenou, Daniel Joseph Ringis, Yeping Su, Neil Birkbeck, Jessie Lin, Balu Adsumilli, Anil Kokaram
المساهمون: Tescher, Andrew G., Ebrahimi, Touradj
المصدر: Vibhoothi, F P, Katsenou, A, Ringis, D J, Su, Y, Birkbeck, N, Lin, J, Adsumilli, B & Kokaram, A 2022, Direct Optimisation of λ for HDR Content Adaptive Transcoding in AV1 . in A G Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLV : Applications of Digital Image Processing XLV . vol. 12226, 1222606, Proceedings of SPIE-The International Society for Optical Engineering, vol. 12226, Society of Photo-Optical Instrumentation Engineers (SPIE), Washington, SPIE Optical Engineering + Applications, San Diego, United States, 21/08/22 . https://doi.org/10.1117/12.2632272
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8923c86aeeb22e31309896ac9246d4
https://doi.org/10.1117/12.2632272 -
3
المؤلفون: Daniel Ringis, François Pitié, Anil Kokaram
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Image and Video Processing (eess.IV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Transcoding, Electrical Engineering and Systems Science - Image and Video Processing, computer.software_genre, Multimedia (cs.MM), symbols.namesake, Distortion, Lagrange multiplier, symbols, Range (statistics), FOS: Electrical engineering, electronic engineering, information engineering, Multiplier (economics), Focus (optics), Algorithm, computer, Computer Science - Multimedia, Data compression, Coding (social sciences)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bda685f0320527eb9d50cdf8baa0b75
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4
المؤلفون: François Pitié
المصدر: IET Computer Vision. 14:304-322
مصطلحات موضوعية: Engineering drawing, business.industry, Computer science, Deep learning, Image registration, 020206 networking & telecommunications, 02 engineering and technology, Software, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Grading (education)
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5
المؤلفون: Hao Wu, Gareth J. F. Jones, François Pitié
المصدر: ICMI
مصطلحات موضوعية: Task (computing), Audio signal, Exploit, Multimedia, Computer science, Factor (programming language), Natural language generation, Timeline, Architecture, computer.software_genre, computer, Popularity, computer.programming_language
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::22b5e7846c03488ce30956ba7e71d9ad
https://doi.org/10.1145/3462244.3479942 -
6
المؤلفون: Rodrigo Pessoa, Anil Kokaram, François Pitié, Mark Sugrue
المصدر: 2021 IEEE International Conference on Image Processing (ICIP).
مصطلحات موضوعية: Computer science, Speech recognition, Codec, Classifier (UML), Multimedia forensics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7cf026e7b60feed249095b9e36b8d73a
https://doi.org/10.1109/icip42928.2021.9506020 -
7
المؤلفون: François Pitié, Anil Kokaram, Daniel Ringis
المصدر: PCS
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Image and Video Processing (eess.IV), Real-time computing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Internet traffic, Electrical Engineering and Systems Science - Image and Video Processing, Multimedia (cs.MM), symbols.namesake, Encoding (memory), Component (UML), Lagrange multiplier, FOS: Electrical engineering, electronic engineering, information engineering, Key (cryptography), Bandwidth (computing), symbols, Codec, Computer Science - Multimedia, Data compression
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998f6c3d9f3f2520e317dd108c0b7495
https://doi.org/10.1109/pcs50896.2021.9477476 -
8
المؤلفون: Peng Song, Matthew Nicholson, Jian Tang, Hossein Javidnia, Ivan Bacher, François Pitié, Rahul Agrahari, Soumyabrata Dev, Murhaf Hossari, Clare Conran, David Corrigan
المصدر: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)مصطلحات موضوعية: Computer science, business.industry, Deep learning, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, Contextual advertising, 02 engineering and technology, Object (computer science), Mixed reality, Motion (physics), Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Segmentation, Augmented reality, Product (category theory), Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f24dfc037d1950519fb5e59f70768307
https://doi.org/10.1007/978-3-030-67667-4_14 -
9
المؤلفون: Daniel Ringis, Anil Kokaram, François Pitié
المصدر: Applications of Digital Image Processing XLIII.
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Low resolution, Image and Video Processing (eess.IV), Work (physics), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Electrical Engineering and Systems Science - Image and Video Processing, ENCODE, Multimedia (cs.MM), symbols.namesake, Encoding (memory), Lagrange multiplier, FOS: Electrical engineering, electronic engineering, information engineering, symbols, Codec, Rate distortion, Algorithm, Computer Science - Multimedia, Data compression
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f14506b679add38220809fc321b2a80
https://doi.org/10.1117/12.2567654 -
10
المؤلفون: Ning Xu, Scott Cohen, François Pitié, Brian Price, Marco Forte
المصدر: ICME
مصطلحات موضوعية: Computer science, business.industry, Deep learning, Image editing, Image segmentation, computer.software_genre, Machine learning, Object detection, Leverage (statistics), Segmentation, Artificial intelligence, business, computer, Image resolution
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::887970375ea47c60ea03178c68fd9c5b
https://doi.org/10.1109/icme46284.2020.9102942