Learning concepts for video annotation
Cui, F., et al.,“Content-enriched classifier for web video classifica tion.” In Proc. of SIGIR 10,
Jul. 19-23, 2010, pp. 619-626. Fischer, S., et al., Automatic recognition of film genres. In …
Jul. 19-23, 2010, pp. 619-626. Fischer, S., et al., Automatic recognition of film genres. In …
Learning category classifiers for a video corpus
(57) ABSTRACT A classifier training system learns classifiers for categories by combining
data from a category-instance repository compris ing relationships between categories and …
data from a category-instance repository compris ing relationships between categories and …
Graph-based fusion for video classification
A classifier training system trains unified classifiers for categorizing videos representing
different categories of a category graph. The unified classifiers unify the outputs of a number …
different categories of a category graph. The unified classifiers unify the outputs of a number …
Augmenting metadata of digital objects
Y Song, M Zhao - US Patent 8,856,051, 2014 - Google Patents
A metadata augmentation system determines similarities between digital objects, such as
digital videos, that may or may not have metadata associated with them. Based on the …
digital videos, that may or may not have metadata associated with them. Based on the …
[PDF][PDF] Comparing arabic and latin handwritten digits recognition problems
S Abdelazeem - International Journal of Computer and Information …, 2009 - Citeseer
A comparison between the performance of Latin and Arabic handwritten digits recognition
problems is presented. The performance of ten different classifiers is tested on two similar …
problems is presented. The performance of ten different classifiers is tested on two similar …
A novel domain-specific feature extraction scheme for arabic handwritten digits recognition
S Abdelazeem - 2009 International Conference on Machine …, 2009 - ieeexplore.ieee.org
The most crucial step for the success of any character recognition system is the extraction of
good features. A wide variety of well-known universal feature sets were used in character …
good features. A wide variety of well-known universal feature sets were used in character …
Learning to geolocate videos
(57) ABSTRACT A classifier training system trains classifiers for inferring the geographic
locations of videos. A number of classifiers are provided, where each classifier corresponds …
locations of videos. A number of classifiers are provided, where each classifier corresponds …