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Kameyama Lab
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A lab that studies how video, images, and other content are distributed.
AboutAbout the lab
Researching the future of multimedia
Kameyama Lab studies multimedia information distribution systems.
The lab works on modeling how information spreads, extracting metadata from video and images, and content retrieval technologies.
It also studies how to analyze people's preferences and emotions using biosignals such as gaze and EEG.
Students come from many countries, including Japan, China, and Cambodia, and English is widely spoken in this international research environment.
Key terms
- Metadata
- Information added to data such as video or photos to describe their content
- Biosignal
- A signal obtained from the human body, such as brain waves or eye movements
- Small-world network
- A network structure in which many people are connected to one another through only a few links
NewsLab news
A master's student received the IE Award at the IEICE Technical Committee on Image Engineering
A master's student received the Presentation Award at IEEE GCCE 2024
A master's student received the Outstanding Student Presentation Award at the IEICE Technical Committee on Communication Quality
ResearchResearch themes
The lab pursues a variety of research on multimedia information distribution systems. Its broad range of topics includes modeling information distribution, extracting metadata from video and images, and recommendation tailored to individual preferences.
*Illustrative imageEmotions Revealed by Biosignals
The lab studies methods that analyze the mood and emotions viewers feel while watching video, using biosignals such as gaze and EEG, and describe them as metadata.
*Illustrative imageAutomatic Photo Annotation System
The lab studies a method for automatically annotating photos using features computed separately for a photo's salient regions, background, and scene, and has confirmed that it outperforms existing methods.
*Illustrative imageContent Distribution and Diffusion
Using a new model based on human behavior, the lab analyzes how the secondary distribution of content spreads over social networks (small-world networks).
*Illustrative imageSearch Engine for Khmer
Because there are still few technologies for searching web pages in Khmer, the language used in Cambodia, the lab is building a search engine that uses query expansion and word indexing.
MembersFaculty
The members of Kameyama Lab consist of faculty, researchers, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorWataru Kameyama
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Vinyl collection at a record store (Unsplash)” Mr Cup / Fabien Barral / CC0 (cropped)
- Emotions Revealed by Biosignals: “Noh mask, Japan, probably 18th-19th century, painted wood - Östasiatiska museet, Stockholm - DSC09254” Daderot / CC0 (cropped)
- Automatic Photo Annotation System: “Abstract stained glass window in cathedral of St. Charles Borromeo in Ciudad Quesada” Manuel A. Aguilar C. / CC BY-SA 3.0 cr (cropped)
- Content Distribution and Diffusion: “SocialNetworkAnalysis” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Search Engine for Khmer: “DSC08316-khmer-script” slawomir.gajowniczek / CC BY-SA 4.0 (cropped)
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- Related lab (河原研究室): “Kanji (Unsplash)” Niketh Vellanki / CC0 (cropped)
- Related lab (森研究室): “account phishing fr 2” Phishing killer / CC0 (cropped)
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