On the Fly Porn Video Blocking Using Distributed Multi-Gpu and Data Mining Approach

Devani, Urvesh; Nikam, V. B.; Meshram, B. B.

doi:10.5121/ijdps.2014.5401

Cited by 1 publication

(2 citation statements)

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“…Devani et al [7] distribute video frame chunks between multiple GPUs to enable real-time processing of the online video and filter porn video. In this manner, frames are processed in parallel.…”

Section: Speed-up Video Recognitionmentioning

confidence: 99%

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An Adaptive Porn Video Detection Based on Consecutive Frames Using Deep Learning

Mazinani¹,

Ahmadi²

2021

RIA

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Many videos uploaded to online video platforms contain adult content that violates these platforms' policies and should be removed immediately. To recognize obscene videos, we developed a model that can process video frames in real-time while also adapting to time budget or hardware processing capacity. Thus, a deep convolutional neural network with multiple outputs was used. A decision-maker module was then designed to decide which neural network outputs to process and which label to assign to each frame. Using the reinforcement learning method, the decision-maker module is trained based on the results of previous frames as well as the results of neural network outputs while keeping the time budget in mind. Experiments showed that sacrificing a small amount of accuracy can increase speed by up to 4.7 times over the base model. We conclude that using a content correlation between consecutive frames not only reduces processing time by eliminating unnecessary frame processing but also improves the accuracy of the frame classification. It was also discovered that while using more of the previous frames, increases processing speed, the error in classifying the frame increases when the scene is changed.

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Section: Speed-up Video Recognitionmentioning

confidence: 99%

“…Frame classification: In some methods, hand-crafted features were used to classify pornographic or violent frames [5][6][7][8]. CNN are used in the majority of methods today [1,3,9,10].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Porn Video Detection Based on Consecutive Frames Using Deep Learning

Mazinani¹,

Ahmadi²

2021

RIA

View full text Add to dashboard Cite

show abstract

On the Fly Porn Video Blocking Using Distributed Multi-Gpu and Data Mining Approach

Abstract: Preventing users from accessing adult videos and at the same time allowing them to access good educational videos and other materials through campus wide network is

Cited by 1 publication

References 13 publications

An Adaptive Porn Video Detection Based on Consecutive Frames Using Deep Learning

An Adaptive Porn Video Detection Based on Consecutive Frames Using Deep Learning

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