Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Overview of the p×64 kbit/s video coding standard
Communications of the ACM - Special issue on digital multimedia systems
Video handling based on structured information for hypermedia systems
International conference on Multimedia information systems '91
Automatic partitioning of full-motion video
Multimedia Systems
Production model based digital video segmentation
Multimedia Tools and Applications
Video parsing and browsing using compressed data
Multimedia Tools and Applications
Transform Coding of Images
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Algorithms for Manipulating Compressed Images
IEEE Computer Graphics and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mechanisms for Automatic Extraction of Primary Features for Video Indexing
ICSC '95 Proceedings of the Third International Computer Science Conference on Image Analysis Applications and Computer Graphics
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
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Video partitioning is the segmentation of a videosequence into visually independent partitions,which represent various identifiable scenes in thevideo. It is an important first step inconsidering other issues in video databasesmanagement, such as indexing and retrieval. Asvideo partitioning is a computationally intensiveprocess, effective management of digital videorequires highly efficient techniques for theprocess. In general, for compressed anduncompressed video, the basic mechanism used toreduce computation is by selective processing of asubpart of the video frames. However, so farthe choice of this proportion has been maderandomly, without any formal basis. An ad hocselection of this subpart cannot always guaranteea reduction in computation while ensuringeffective partitioning.This paper presents formal methods for determiningthe optimal window size and the minimum thresholdswhich ensure that decisions on scene similarityare made on a reliable, effective and principledbasis. Further, we propose the use ofneighbourhood-based colour ratios, and derive theratio feature for both uncompressed and transformcoded video. The neighbourhood-based ratiofeatures account for both illumination variationand possible motion in the video, while avoidingthe computational burden of explicit motioncompensation procedures. Empirical results showing the performance of the proposed techniques are are also presented.