Journal ArticleDOI
Video parsing and browsing using compressed data
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TLDR
Algorithms to automate the video parsing task, including partitioning a source video into clips and classifying those clips according to camera operations, using compressed video data are presented and content-based video browsing tools are presented.Abstract:
Parsing video content is an important first step in the video indexing process. This paper presents algorithms to automate the video parsing task, including partitioning a source video into clips and classifying those clips according to camera operations, using compressed video data. We have developed two algorithms and a hybrid approach to partitioning video data compressed according to the JPEG and MPEG standards. The algorithms utilize both the video content encoded in DCT (Discrete Cosine Transform) coefficients and the motion vectors between frames. The hybrid approach integrates the two algorithms and incorporates multi-pass strategies and motion analyses to improve both accuracy and processing speed. Also, we present content-based video browsing tools which utilize the information, particularly about the shot boundaries and key frames, obtained from parsing.read more
Citations
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Journal ArticleDOI
Rapid scene analysis on compressed video
Boon-Lock Yeo,Bede Liu +1 more
TL;DR: Experimental results show that the proposed rapid scene analysis algorithms are fast and effective in detecting abrupt scene changes, gradual transitions including fade-ins and fade-outs, flashlight scenes and in deriving intrashot variations.
Proceedings Article
Content-Based Image Retrieval
Malek Adjouadi,Marie L. Lucas,Emanuel L. Pozo,Hien Nguyen,Kevin Maynard,Stacey Thomas,Armando Barreto,Scott Graham,Naphtali Rishe +8 more
TL;DR: A survey of CBIR systems is provided and the fundamental properties and techniques used in these systems are explained, including text-based information retrieval and why it does not work for searching through collections of images.
Journal ArticleDOI
Performance characterization of video-shot-change detection methods
TL;DR: The results of a performance evaluation and characterization of a number of shot-change detection methods that use color histograms, block motion matching, or MPEG compressed data are presented.
Journal ArticleDOI
Temporal video segmentation: A survey
Irena Koprinska,Sergio Carrato +1 more
TL;DR: The performance, relative merits and limitations of each of the approaches are comprehensively discussed and contrasted, and the related topic of camera operation recognition is also reviewed.
References
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Journal ArticleDOI
The JPEG still picture compression standard
TL;DR: The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Book
Computer and Robot Vision
TL;DR: This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balanced and unified approach.
Journal ArticleDOI
The JPEG still picture compression standard
TL;DR: The author provides an overview of the JPEG standard, and focuses in detail on the Baseline method, which has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Journal ArticleDOI
MPEG: a video compression standard for multimedia applications
TL;DR: Design of the MPEG algorithm presents a difficult challenge since quality requirements demand high compression that cannot be achieved with only intraframe coding, and the algorithm’s random access requirement is best satisfied with pure intraframes coding.
Journal ArticleDOI
Automatic partitioning of full-motion video
TL;DR: A twin-comparison approach has been developed to solve the problem of detecting transitions implemented by special effects, and a motion analysis algorithm is applied to determine whether an actual transition has occurred.