Titlebook: Visual Content Processing and Representation; 8th International Wo Narciso García,Luis Salgado,José M. Martínez Conference proceedings 2003

orient

燕麥

Combining MPEG-7 Based Visual Experts for Reaching Semantics decision mechanisms are proposed, one of which enjoys a significant classification performance improvement. Simulations are conducted on 8 different visual semantic classes, resulting in accuracy improvements between 3.5-6.5%, when they are compared with the best performance of single classifier systems.

Hypopnea

HATCH

起草

0302-9743 f visual content processing techniques, standards, and applications covering areas such as: video/image analysis, representation and coding, communications and delivery, consumption, synthesis, protection, and adaptation. The topics of special interest include all the areas relevant to image communi

anatomical

faddish

Template-Based Eye and Mouth Detection for 3D Video Conferencinger lip line are robustly found with high accuracy from one still image. This automatic process allows to set up an advanced video conference system that uses 3D head models of the participants to synthesize new views.

jet-lag

CLAMP

Stochastic Models of Video Structure for Program Genre Detectionrepresented using discrete-symbol sequences derived from shot features. We then use these sequences to build HMM and hybrid HMM-SCFG models which are used to automatically classify the sequences into genres. In contrast to previous methods for using SCGFs for video processing, we use unsupervised training without an a priori grammar.

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