Semantic Modeling and Retrieval of Dance Video Annotations

Computer Science – Multimedia

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

INFOCOMP Journal of Computer Science, Brazil

Scientific paper

Dance video is one of the important types of narrative videos with semantic rich content. This paper proposes a new meta model, Dance Video Content Model (DVCM) to represent the expressive semantics of the dance videos at multiple granularity levels. The DVCM is designed based on the concepts such as video, shot, segment, event and object, which are the components of MPEG-7 MDS. This paper introduces a new relationship type called Temporal Semantic Relationship to infer the semantic relationships between the dance video objects. Inverted file based index is created to reduce the search time of the dance queries. The effectiveness of containment queries using precision and recall is depicted. Keywords: Dance Video Annotations, Effectiveness Metrics, Metamodeling, Temporal Semantic Relationships.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Semantic Modeling and Retrieval of Dance Video Annotations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Semantic Modeling and Retrieval of Dance Video Annotations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Semantic Modeling and Retrieval of Dance Video Annotations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-6732

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.