A recent overview collecting the very latest ideas in content - based retrieval identified the following present and future trends: indexing, search, query, and retrieval of multimedia data based on
This field is truly rich and meshes well with the outline direction of MPEG - 7.
In another direction, researchers try to create a search profile to encompass most instances available, say all "animals". Then, for relational database searches, such search profiles are communicated via database queries. For searches using visual features, intelligent search engines learn a user's query concepts through active learning. This type of endeavor is called "query-based learning".
Another approach focuses on comprehending how people view images as similar, on the basis of perception. The function used in this approach is a type of "perceptual similarity measure" and is learned by finding the best set of features (color, texture, etc.) to capture "similarity" as defined via the groups of similar images identified.
Garden video: (a) frames from a digital video; (b) keyframes selected
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Introduction To Multimedia
Multimedia Authoring And Tools
Graphics And Image Data Representations
Colour In Image And Video
Fundamental Concepts In Video
Basics Of Digital Audio
Lossless Compression Algorithm
Lossy Compression Algorithms
Image Compression Standards
Basic Video Compression Techniques
Mpeg Video Coding I – Mpeg 1 And 2
Mpeg Video Coding Ii- Mpeg-4, 7, And Beyon
Basic Audio Compression Techniques
Mpeg Audio Compression
Computer And Multimedia Networks
Multimedia Network Communications And Applications
Content-based Retrieval In Digital Libraries
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