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Kazuki Sawai

dblp:26/10574 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 77% Multimedia analysis and retrieval · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › video segmentation
video temporal segmentation		 0.112011
Scene segmentation of wedding party videos by scenario-based matching with example videos · ACM Multimedia 2011
Multimedia analysis and retrieval
video indexing		 0.012011
Scene segmentation of wedding party videos by scenario-based matching with example videos · ACM Multimedia 2011

Methods — techniques the papers use, named apart from their topics

scenario-based matching · 0.1example video synthesis · 0.1
YearPublicationVenuePosition
2011 Scene segmentation of wedding party videos by scenario-based matching with example videos
abstract
We propose a method for scene segmentation of a wedding party video. Recently, it has become popular to take videos of a wedding ceremony and its party. Especially, because of its length, each scene of a wedding party video needs to be indexed with each event for efficient browsing. The proposed method segments a wedding party video into scenes of events by scenario- based matching with example videos that are synthesized by combining scenes from other wedding party videos according to a scenario.
Kazuki Sawai, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
 ACM Multimedia1