Multimedia Signal Processing (II)
Date Issued
2001-07-31
Date
2001-07-31
Author(s)
DOI
892213E002159
Abstract
Efficient indexing methods are required to handle the
rapidly increasing amount of visual information within
video databases. Video analysis that partitions the video
into clips or extracts interesting frames is an important
preprocessing step for video indexing. In this paper, we
develop a novel method for video analysis using the
macroblock (MB) type information of MPEG compressed
video bitstreams. This method exploits the comparison
operations performed in the motion estimation procedure,
which results in specific characteristics of the MB type
information when scene changes occur or some special
effects are applied. Only a simple analysis on MB types of
frames is needed to achieve very fast scene change,
gradual transition, flashlight, and caption detection. The
advantages of this novel approach are its direct extraction
from the MPEG bitstreams after VLC decoding, very low
complexity analysis, frame-based detection accuracy and
high sensitivity.
rapidly increasing amount of visual information within
video databases. Video analysis that partitions the video
into clips or extracts interesting frames is an important
preprocessing step for video indexing. In this paper, we
develop a novel method for video analysis using the
macroblock (MB) type information of MPEG compressed
video bitstreams. This method exploits the comparison
operations performed in the motion estimation procedure,
which results in specific characteristics of the MB type
information when scene changes occur or some special
effects are applied. Only a simple analysis on MB types of
frames is needed to achieve very fast scene change,
gradual transition, flashlight, and caption detection. The
advantages of this novel approach are its direct extraction
from the MPEG bitstreams after VLC decoding, very low
complexity analysis, frame-based detection accuracy and
high sensitivity.
Subjects
Compressed Domain Video Analysis
Video
Indexing
Indexing
Scene Change
Flashlight and Caption Detection
Publisher
臺北市:國立臺灣大學電機工程學系暨研究所
Type
report
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