Titlebook: Semantic Multimedia; First International Yannis Avrithis,Yiannis Kompatsiaris,Noel E. O’Con Conference proceedings 2006 Springer-Verlag Be

热爱

书目名称Semantic Multimedia影响因子(影响力)




书目名称Semantic Multimedia影响因子(影响力)学科排名




书目名称Semantic Multimedia网络公开度




书目名称Semantic Multimedia网络公开度学科排名




书目名称Semantic Multimedia被引频次




书目名称Semantic Multimedia被引频次学科排名




书目名称Semantic Multimedia年度引用




书目名称Semantic Multimedia年度引用学科排名




书目名称Semantic Multimedia读者反馈




书目名称Semantic Multimedia读者反馈学科排名

极大的痛苦

Semantic Image Analysis Using a Learning Approach and Spatial Context,c algorithm, which uses them to decide on the globally most plausible annotation. In this work, two different fitness functions for the GA are tested and evaluated. Experiments with outdoor photographs demonstrate the performance of the proposed approaches.

Brocas-Area

A Context-Based Region Labeling Approach for Semantic Image Segmentation,ng results are being re-adjusted appropriately, utilizing contextual knowledge in the form of domain-specific semantic concepts and relations. The performance of the overall methodology is demonstrated on a real-life still image dataset from the popular domains of beach holidays and motorsports.

Cpr951

Image Clustering Using Multimodal Keywords, clustering, when used in tandem with textual keyword annotations, in the context of latent semantic analysis, a popular technique in classical information retrieval which has been used to reveal the underlying semantic structure of document collections.

违法事实

不透气

cavity

A Scalable Framework for Multimedia Knowledge Management,, to exploit and/or export knowledge to this environment. This framework is able to handle a wide range of use cases, from an . for researchers to end-user .. As an illustration of how the proposed framework can be used, we present a case study of music analysis.

HPA533

Ingredient

A Bayesian Network Approach to Multi-feature Based Image Retrieval,verall process is divided into two stages: the initial retrieval stage which is concentrated on finding an optimal multi-feature space stage and doing a simple initial retrieval within this space; and the Bayesian inference stage which uses the initial retrieval information and seeks for a more precise second- retrieval.

exclamation

Extraction of Motion Activity from Scalable-Coded Video Sequences,or to this new coding domain. Then we compare the results obtained with those for MPEG-1 videos in the context of a common application of this descriptor: video summarization. The comparable quality of these results and the gain in efficiency support the presented approach.