1. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. Automatic Content Filtering KDDI R&D Laboratories Inc.

2. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. Background  UGC(User Generated Content) is very popular and becoming a high part of online volume.  Industry sources tell us that YouTube content submissions are moving to 5M minutes of new content uploads per day  A large variety of formats, resolutions and sizes of videos and images are uploaded to the internet daily  How can a company can check all this picture and movie content?  Drawbacks of Manual checking :  Subjective evaluation is time and resource consuming  Subjective evaluation introduces fluctuations in results  What are the key drivers for automatic content filtering?  High speed  High accuracy

3. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. Strong Point-2 Strong Point-1 Performance 3 Content Filtering Block Diagram Can operate 55 Pics/sec. using only Laptop PC Adopt proprietary image features NG Image OK Image Input Images OK Image Database OK Image Database NG Image Database NG Image Database Detection Feature Extraction Off LineOnline Dictionary Fast training by introducing iSVM Feature Extraction Training (iSVM)

4. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. High Speed Training by Incremental SVM (iSVM™) Concept : Mapping to multidimensional space and determining boundary between OK/NG Problem : Huge calculations are needed to support working on these huge datasets. SVM (Support Vector Machine) : Concept and Problem Introducing KDDI R&D Labs’ proprietary adaptive training algorithm - iSVM Now calculation cost increases are proportional to the amount of data! Conventional methods SVM cube the proportion of calculation to data!!! Incremental SVM (iSVM) : Concept, Features, Benefit We have confirmed that iSVM accelerates calculation speeds up to 8X for 5,000,000 training datasets. There’s a Strong Need for Fast Training Algorithm while maintaining high accuracy Conventional SVM cannot handle a huge training dataset

5. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. Performance Comparison 良い 悪い 90 18 0 20 40 60 80 100 Other KDDI R&D Slow Fast Speed 0.643 0.97 0.697 0.975 0.0 0.2 0.4 0.6 0.8 1.0 Precision Recall Accuracy Low High msec/content 5X faster than other product Other KDDI R&D Other KDDI R&D

6. Sentosa Technology Consultants | www.sentosatech.com | +1 303-809-8043 KDDI R&D Laboratories Inc. Demo 1.Training DatasetsTraining Datasets Top half : Training images for OK. Bottom half : Training images for NG. 2.Input images obtained from the internetInput images obtained from the internet 200 images are arbitrary obtained. 3.Detection result using other productDetection result using other product Some NG pictures are detected as OK. About 10% in this case. 4.Detection result using KDDI R&D Labs.Detection result using KDDI R&D Labs. Almost all NG pictures are detected as NG. Accuracy is far better than other product.