Query by video clip
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10514651) , 909-911
- https://doi.org/10.1109/icpr.1998.711299
Abstract
Typical video search is based on queries involving a single shot. We generalize this problem by allowing queries that involve a video clip. We propose two schemes for query by video clip. In the first scheme, retrieval based on key frames where the database and query video are segmented into shots which are represented via key frames. For every query key frame, a similarity value (using color, texture, and motion) is associated with the key frames in the database video clip. Boundaries marking highly similar consecutive shots are then used to generate the set of retrieved video sub-clips. In the second scheme, in retrieval using sub-sampled frames, we uniformly sub-sample the query clip as well as the database video. The retrieval is based on matching color and texture features of the sub-sampled frames. Initial experiments on two video databases show promising results.Keywords
This publication has 7 references indexed in Scilit:
- Video indexing through integration of syntactic and semantic featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- On image classification: city vs. landscapePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Automatic video data structuring through shot partitioning and key-frame computingMachine Vision and Applications, 1997
- An integrated system for content-based video retrieval and browsingPattern Recognition, 1997
- Image retrieval using color and shapePattern Recognition, 1996
- Time-constrained clustering for segmentation of video into story unitsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Performance of optical flow techniquesInternational Journal of Computer Vision, 1994