Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Clement Guenais

dblp:43/8692 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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
Visualization and visual analytics · 77% Image and video processing · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › video visualization
interactive video visualization
0.112010
Video exploration: from multimedia content analysis to interactive visualization · ACM Multimedia 2010
Image and video processing
video segmentation
0.012010
Video exploration: from multimedia content analysis to interactive visualization · ACM Multimedia 2010

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

visual processing · 0.1textual processing · 0.1
YearPublicationVenuePosition
2010 Video exploration: from multimedia content analysis to interactive visualization
abstract
This paper presents 3 interfaces to access video contents. The stream explorer allows to explore and to segment video streams. The video explorer shows a synthetic view of structured TV programmes. The collection explorer proposes cartographies of large video collections. Based on visual and textual automatic processing, proximities and redundancies are analyzed, allowing the emergence of different levels of structure. This is made possible thanks to the volume of data considered: 7 channels during 100 days, ie 16000 hours or 20 Millions key frames. These three tools allow efficient exploration of video contents at different levels of interest: image, shot and sequence, programme and collection level.
Marie-Luce Viaud, Olivier Buisson, Agnès Saulnier, Clement Guenais
ACM Multimedia4