Content based video indexing and retrieval

@article{Smoliar1994ContentBV,
  title={Content based video indexing and retrieval},
  author={Stephen W. Smoliar and HongJiang Zhang},
  journal={IEEE MultiMedia},
  year={1994},
  volume={1},
  pages={62-72}
}
Video management tools and techniques are based on pixels rather than perceived content. Thus, state-of-the-art video editing systems can easily manipulate such things as time codes and image frames, but they cannot "know," for example, what a basketball is. Our research addresses four areas of content-based video management.<<ETX>> 
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471 Citations
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References

SHOWING 1-10 OF 15 REFERENCES
Video indexing using motion vectors
TLDR
A video indexing method that uses motion vectors to 'identify' video sequences and corresponding icons is presented, based on the identification of discrete cut points and camera operations made possible by analyzing motion vectors.
Developing power tools for video indexing and retrieval
TLDR
The Video Classification Project is presented, an effort toward automating content-based video indexing and retrieval, at the Institute of Systems Science of the National University of Singapore.
Knowledge-guided parsing in video databases
TLDR
The steps in the insertion process, and some of the tools the authors have developed to semi-automatically segment the data into domain objects which are meaningful to the user are discussed.
Automatic parsing of news video
TLDR
Approaches to locating and identifying frame structure models based on temporal and spatial structure of news video data, along with algorithms to apply these models in parsing news video, have been developed and are presented in detail in this paper.
Salient video stills: content and context preserved
TLDR
A new class of images called salient stills is demonstrated and a software development platform for their creation is discussed and a by-product of the salient still process is a structured representation of moving image data.
VideoMAP and VideoSpaceIcon: tools for anatomizing video content
TLDR
The basic concept of VideoMAP and VideoSpaceIcon, which allow the user's creativity to directly interact with the essential features of each video by offering spatial and temporal clues, are introduced.
A magnifier tool for video data
We describe an interface prototype, the Hierarchical Video Magnifier, which allows users to work with a video source at fine-levels of detail while maintaining an awareness of temporal context. The…
QBIC project: querying images by content, using color, texture, and shape
TLDR
The main algorithms for color texture, shape and sketch query that are presented, show example query results, and discuss future directions are presented.
Introduction to Modern Information Retrieval
TLDR
Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Structure out of sound
Sound is the predominant communication modality in the natural world, yet most current computers have no sense of sound whatsoever. They only occasionally "bleep," and are, in effect, stone-deaf.…
...
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