His main research concerns Artificial intelligence, Computer vision, Video quality, Computer network and Data compression. His Artificial intelligence research is multidisciplinary, relying on both Detection theory, Detector and Pattern recognition. His study in Computer vision is interdisciplinary in nature, drawing from both Depth perception and Codec.
The various areas that Ahmet M. Kondoz examines in his Video quality study include Channel code, Communication channel and Coding tree unit. The concepts of his Computer network study are interwoven with issues in Wireless and General Packet Radio Service. His Data compression research focuses on subjects like Stereoscopy, which are linked to Scalable Video Coding.
His primary areas of investigation include Artificial intelligence, Computer vision, Speech recognition, Speech coding and Video quality. His Artificial intelligence study combines topics from a wide range of disciplines, such as Coding and Pattern recognition. Multiview Video Coding, Data compression, Scalable Video Coding, Video tracking and Motion estimation are the primary areas of interest in his Computer vision study.
His work carried out in the field of Video tracking brings together such families of science as Multimedia and Video processing. His Speech coding research incorporates themes from Bit error rate and Voice activity detection. Robustness, Computer network and Network packet is closely connected to Real-time computing in his research, which is encompassed under the umbrella topic of Video quality.
Artificial intelligence, Multimedia, Video quality, Computer vision and Computer network are his primary areas of study. Ahmet M. Kondoz has researched Artificial intelligence in several fields, including Lidar and Ranging. His studies in Multimedia integrate themes in fields like Quality of experience, Modality, The Internet, Adaptation and User experience design.
He interconnects Video tracking, Multiview Video Coding, Real-time computing, Video processing and Coding in the investigation of issues within Video quality. His Video tracking research includes elements of Scalable Video Coding and Motion compensation. His Computer vision research includes themes of Radar, Data stream mining and Subjective video quality.
His primary scientific interests are in Computer vision, Artificial intelligence, Computer network, Multimedia and Video quality. His Computer vision research integrates issues from Radar, Lidar and Measure. His research in Artificial intelligence intersects with topics in Algorithm design, Ranging and Data stream mining.
His Multimedia study incorporates themes from Cellular network, Multimedia Broadcast Multicast Service, Quality of experience, The Internet and Mobile device. His Video quality study combines topics in areas such as Video tracking and Video processing. His Video processing research is multidisciplinary, incorporating elements of Multiview Video Coding, Uncompressed video, Subjective video quality, Dynamic Adaptive Streaming over HTTP and Video compression picture types.
A. Kindoz;A. M. Kondoz
Yogachandran Rahulamathavan;Raphael C.-W Phan;Muttukrishnan Rajarajan;Sudip Misra
S.L.P. Yasakethu;C. Hewage;W. Fernando;A. Kondoz
C.T.E.R. Hewage;S.T. Worrall;S. Dogan;S. Villette
Yong Duk Cho;A. Kondoz
C.T.E.R. Hewage;S.T. Worrall;S. Dogan;A.M. Kondoz
Y.D. Cho;K. Al-Naimi;A. Kondoz
S. Dogan;A. Cellatoglu;M. Uyguroglu;A.H. Sadka
Varuna De Silva;Jamie Roche;Ahmet M. Kondoz
V. De Silva;H. K. Arachchi;E. Ekmekcioglu;A. Kondoz
B. Gunel;H. Hachabiboglu;A.M. Kondoz
B. Kamolrat;W.A.C. Fernando;M. Mrak;A. Kondoz
P. Joveluro;H. Malekmohamadi;W. A. C Fernando;A. M. Kondoz
V De Silva;A Fernando;S Worrall;H K Arachchi
N. Kaiugampala;S. Villette;A.M. Kondoz
Villette Stephane Pierre;Kondoz Ahmet Mehmet
N.N. Katugampala;K.T. Al-Naimi;S. Villette;A.M. Kondoz
C.T.E.R. Hewage;S. Worrall;S. Dogan;A.M. Kondoz
N.N. Katugampala;K.T. Al-Naimi;S. Villette;A.M. Kondoz
D. V. S. X. De Silva;W. A. C. Fernando;S. T. Worrall;S. L. P. Yasakethu
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