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Chia Chu Liu

dblp:40/4777 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2006
—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
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Audio and music processing › music information retrieval
music emotion recognition
0.112006
Music emotion classification: a fuzzy approach · ACM Multimedia 2006
Audio and music processing › music information retrieval › music classification
music mood classification
0.112006
Music emotion classification: a fuzzy approach · ACM Multimedia 2006

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

fuzzy classifier · 0.1
YearPublicationVenuePosition
2006 A robust DRM system on the DVB multimedia home platform
abstract
In a digital home, the copy rights of the high-quality multimedia content broadcasted from a DVB system need to be protected. However, there is no specification on how to enforce the usage rights of digital content in the DVB standards. As a result, even if the digital content is protected under the conditional access sub-system, end users can still copy and redistribute the digital content once it is descrambled. In this paper, we proposed a DRM system for set-top box which supports Multimedia Home Platform middleware. The rights of the protected digital content are described using the MPEG-21 Rights Expression Language and broadcasted with the digital content. In the proposed system, the rights are stored in the smart card. The proposed system is highly renewable and extensible. The service providers can integrate this system with their existing broadcast services without additional hardware cost.
Chia-Kai Liang, Chia Chu Liu, Homer H. Chen
CCNC2
2006 Music emotion classification: a fuzzy approach
abstract
Due to the subjective nature of human perception, classification of the emotion of music is a challenging problem. Simply assigning an emotion class to a song segment in a deterministic way does not work well because not all people share the same feeling for a song. In this paper, we consider a different approach to music emotion classification. For each music segment, the approach determines how likely the song segment belongs to an emotion class. Two fuzzy classifiers are adopted to provide the measurement of the emotion strength. The measurement is also found useful for tracking the variation of music emotions in a song. Results are shown to illustrate the effectiveness of the approach.
Yi-Hsuan Yang, Chia Chu Liu, Homer H. Chen
ACM Multimedia2