What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Computer network
His primary areas of investigation include Multimedia, Computer vision, Artificial intelligence, Controller and Computer hardware.
The concepts of his Multimedia study are interwoven with issues in Terminal, Computer data storage and Human–computer interaction.
His Computer vision research incorporates elements of Sound recording and reproduction, Simulation and State.
His research brings together the fields of Signal and Artificial intelligence.
Toshiro Terauchi combines subjects such as Synchronization, Mode, Loudspeaker, Real-time computing and Relation with his study of Controller.
His Data processing system study in the realm of Computer hardware connects with subjects such as Control methods.
His most cited work include:
- Communication terminal apparatus and control method thereof (185 citations)
- Electronic apparatus, input device, and input method (88 citations)
- Image display system, image display device, image display method (82 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Multimedia, Terminal and Information retrieval.
His study in Simulation extends to Artificial intelligence with its themes.
He focuses mostly in the field of Computer vision, narrowing it down to matters related to Signal and, in some cases, Speech recognition.
Toshiro Terauchi has included themes like World Wide Web and Section in his Multimedia study.
His Terminal research includes elements of Transmission and Computer network.
Toshiro Terauchi interconnects Metadata and Key in the investigation of issues within Information retrieval.
He most often published in these fields:
- Artificial intelligence (18.18%)
- Computer vision (17.82%)
- Multimedia (14.55%)
What were the highlights of his more recent work (between 2006-2019)?
- Multimedia (14.55%)
- Information retrieval (10.55%)
- Artificial intelligence (18.18%)
In recent papers he was focusing on the following fields of study:
Toshiro Terauchi mainly focuses on Multimedia, Information retrieval, Artificial intelligence, Computer vision and Speech recognition.
His Multimedia research is multidisciplinary, incorporating elements of Transfer, World Wide Web and Communication methods.
The study incorporates disciplines such as Metadata, Central processing unit and State information in addition to Information retrieval.
His research is interdisciplinary, bridging the disciplines of Natural language processing and Artificial intelligence.
In general Computer vision study, his work on Motion, Image display, Image and Thumbnail often relates to the realm of Environmental sensor, thereby connecting several areas of interest.
His Speech recognition research includes themes of Sound, Section, Key, Sound recording and reproduction and Audio signal.
Between 2006 and 2019, his most popular works were:
- Image display device and image display method (69 citations)
- Image displaying method and video playback apparatus (37 citations)
- Information recommendation system based on biometric information (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
Toshiro Terauchi mostly deals with Multimedia, Computer vision, Artificial intelligence, Section and Information retrieval.
His study in the field of Image is also linked to topics like Environmental sensor.
His Image study combines topics from a wide range of disciplines, such as Frame, Controller, Comparator and Computer graphics.
His work on Motion as part of his general Artificial intelligence study is frequently connected to Waiting time and Set, thereby bridging the divide between different branches of science.
Toshiro Terauchi works mostly in the field of Section, limiting it down to concerns involving Central processing unit and, occasionally, Movement and Range.
His study in Information retrieval is interdisciplinary in nature, drawing from both Key and State information.
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