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ITHEA Classification Structure > I. Computing Methodologies  > I.2 ARTIFICIAL INTELLIGENCE  > I.2.10 Vision and Scene Understanding 
ITHEA Classification Structure > I. Computing Methodologies  > I.4 IMAGE PROCESSING AND COMPUTER VISION  > I.4.6 Segmentation 
KEY FRAME PARTITION MATCHING FOR VIDEO SUMMARIZATION
By: Olena Mikhnova, Nataliia Vlasenko (3396 reads)
Rating: (1.00/10)

Abstract: Summarization of video content is a complex task that requires feature selection and frame matching. To extract meaningful frames, named key frames, we have proposed partitioning of frames with Voronoi diagrams for further region matching throughout the video sequence. A unique partition metric has been used that takes into account color and textural, structural and geometric properties of Voronoi regions. Feature set designed for CBIR and CBVR has been analysed. The reasonable feature selection and incorporation into frame matching process has permitted to obtain competitive results. All these actions have allowed revealing significant changes in content while omitting slight deflections and repeats. Key frame extraction procedure has been described in detail. The proposed method has been checked on different test samples and compared with existing methods for precision and recall.

Keywords: key frame extraction, generator point detection, Voronoi diagram, partition metric, feature set.

ACM Classification Keywords: I.2.10 Vision and Scene Understanding (Video analysis), I.4.6 Segmentation (Edge and feature detection)

Link:

KEY FRAME PARTITION MATCHING FOR VIDEO SUMMARIZATION

Olena Mikhnova, Nataliia Vlasenko

http://www.foibg.com/ijima/vol02/ijima02-02-p08.pdf

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I.2.10 Vision and Scene Understanding
article: NEAREST NEIGHBOR SEARCH AND SOME APPLICATIONS · KEY FRAME PARTITION MATCHING FOR VIDEO SUMMARIZATION · TEMPORAL VIDEO SEGMENTATION VIA SPATIAL IMAGE SEGMENTATION · THE MODEL OF DECISION SUPPORT SYSTEM FOR A MANUFACTURING COMPANY · NEURAL NETWORK SEGMENTATION OF VIDEO VIA TIME SERIES ANALYSIS ·
I.4.6 Segmentation
article: KEY FRAME PARTITION MATCHING FOR VIDEO SUMMARIZATION · GENETIC BASED SPOT DETECTION METHOD IN TWO-DIMENSIONAL ELECTROPHORESIS IMAGES · INTELLIGENT COMPUTATIONS FOR FLOOD MONITORING · IMAGE QUOTIENT SET TRANSFORMS IN SEGMENTATION PROBLEMS · SERVICES FOR SATELLITE DATA PROCESSING ·
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