<p><P>Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying
Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval (Cognitive Technologies)
β Scribed by Matthieu Cord, Padraig Cunningham
- Year
- 2008
- Tongue
- English
- Leaves
- 307
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
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<p><P>Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying
Since multimedia systems are required to store and manipulate a variety of media types -- including text, graphics, images, sound, audio, and video among many others -- applications such as video-on-demand systems, interactive television, and video conferencing are becoming widely available at warp
Since multimedia systems are required to store and manipulate a variety of media types -- including text, graphics, images, sound, audio, and video among many others -- applications such as video-on-demand systems, interactive television, and video conferencing are becoming widely available at warp
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