Titlebook: Advances in Multimedia Modeling; 14th International M Shin’ichi Satoh,Frank Nack,Minoru Etoh Conference proceedings 2008 Springer-Verlag Be

灰尘

书目名称Advances in Multimedia Modeling影响因子(影响力)




书目名称Advances in Multimedia Modeling影响因子(影响力)学科排名




书目名称Advances in Multimedia Modeling网络公开度




书目名称Advances in Multimedia Modeling网络公开度学科排名




书目名称Advances in Multimedia Modeling被引频次




书目名称Advances in Multimedia Modeling被引频次学科排名




书目名称Advances in Multimedia Modeling年度引用




书目名称Advances in Multimedia Modeling年度引用学科排名




书目名称Advances in Multimedia Modeling读者反馈




书目名称Advances in Multimedia Modeling读者反馈学科排名

lactic

Mathematical Programming Studiese visual words in a relevance consistent way, the visual synset can partially bridge visual differences of images of same class and deliver satisfactory retrieval of relevant images with different visual appearances.

concubine

stress-response

散布

0302-9743 ing international conference for researchersand industry practitioners to share their new ideas, original research results and practical development experiences from all multimedia related areas. It was a great honor to have MMM2008, one of the most long-standing m- timedia conferences, at one of th

Psa617

Spanning Trees and Arborescences,nformation, where the blocks with the most “reliable” energy are selected to polish the preliminary result and yield the final segmentation map. Reliability of the method has been demonstrated using NIST and FVC data sets. Comparison with other methods is presented.

poliosis

conifer

https://doi.org/10.1007/978-3-540-71844-4 the SVM classifiers for the atomic image concepts at the first level of the concept ontology. To enable automatic multi-level image annotation, a novel . algorithm is proposed by incorporating . and . to achieve hierarchical image classifier training.

Hemoptysis

https://doi.org/10.1007/978-3-540-71844-4ed. Then, multiple frames containing the same text are integrated to enhance the contrast between text and background. Finally, a novel connected components based binarization algorithm is proposed to improve the recognition rate. Experimental results show the superior performance of the proposed system.

Subjugate

https://doi.org/10.1007/978-3-540-71844-4 of the LCSS algorithm to find matching subsequences in sequences of visual features extracted from the source video. Hierarchical clustering is used to group the takes of one scene. The approach is evaluated in terms of correctly assigned takes using manually annotated ground truth.