immoral scene sensoring

Guided by,

Mrs. Alpha Vijayan

Associative. Professor

CSE Departement

Presented by,

Sam.V.Varghese (11010012)

Sudheesh K.S (11010022)

Tibin Thomas (11010016)

Gokul G (11010021)

19 October 2014 Dept of CSE 1

• Reduce rise of immoral digital visual contents in

broadcasts.

• Motivate the research in fast and reliable obscene and

immoral material filtering.• Use the power of computer vision for socially

admissible projects.

• Contribute to open source OpenCV library function.


• Manual censoring and grading in tv broadcasts and

films.

• IP address based filtering of internet sites.

• Computer vision based censoring.(limited)


• Difficulty in Skin and Non-skin colour separable.

• Illumination changes over time.

• Skin tones vary dramatically within and across

individuals.

• Different cameras have different output for the

identical image.

• Movement of objects cause blurring of colours.

• Ambient light, shadows change the apparent colour of

the image.


Skin colour based detection using combination of

HSV & RGB colour space

Allows fast processing.

Robust to geometric variations of the skin patterns.

Robust to resolution changes.

Experience suggests that human skin has a

characteristic colour, which is easily recognized by

humans.


• Process of finding skin-colored pixels and regions in an

image or video.

• Skin Detector transforms a given pixel into an

appropriate color space .

• Then use a skin classifier to label the pixel whether it is

a skin or non-skin pixel.

• The color needs to be represented in a color space

• RGB color space ,HSV,YCrCb are common color space

used to represent images.


• Pixel-Based Methods

• Classify each pixel as skin or non-skin individually,

independently from its neighbors.

• Color Based Methods fall in this category

• Region Based Methods

• Try to take the spatial arrangement of skin pixels into

account during the detection stage to enhance the methods

performance.


Automatic Detection of Human

Body

Detects whether there are human immoral scenes

present in an Image. The system marks skin-like pixels using combined

color and texture properties. . These skin regions are then fed to a specialized

grouper, which attempts to group a human figure.


Automatic Detection of Human

Body (cont..)


• The algorithm successfully extracts 43% of the test images

• This system is not as accurate as some recent object

recognition

• It is detecting jointed objects of highly variable shape

diverse range of poses, seen from many different camera

positions.

• Both lighting and background are uncontrolled previous

object recognition experiments.

• It might detect non humanbody whose color similar to

human19 October 2014 Dept of CSE 10

A Novel Scheme for Intelligent Recognition of immoral Images• Features extracted from skin region and whole image.

• Fourier descriptors and signature of boundary of skin region

is used as shape descriptor features.

• Self Organizing Feature Maps (SOFM).

• Finally, the selected features are fed to parallel classifiers

• The output of each classifier is sent to decision making

component.

• experimental results are convincing but the results can

be improved by extracting high .tp:86.7% fp:6.64%


• Large number of pictures taken under special lighting

• A feasible solution for the problem is to adapt the adopted skin chroma distribution

• The skin tone is formed by the interaction between skin andlight

• Model based on Cb and Cr values can provide good coverageof all human races.

• The popular skin colors of immoral images, including variouslighting conditions, into several categories


every sample skin image is first trans-formed from the RGB color space to the YCbCr space

YCrCb is an encoded nonlinear RGB signal, commonly used by European television studios and for image compression work.Y – Luminance component, C –Chorminance

The detection rates of the immoral images and the ordinary images are 71.7% and 84.2%,


HSV based skin detection

• HSV skin detection : -

• Image is converted from RGB colour space to HSV

colour space.

• The converted image is probed for the skin colours

according to the H channel discription for skin colours.

• The noisy image is passed through morphological

filters to produce the desired image.


HSV based skin detection


HSV based skin detection(cont..)


The objective of this paper is to show that for every color

space there exists an optimum skin detector scheme

such that the performance of all these skin detectors schemes

is the same.

Used 4 color space – RGB, YCrCb, HSV, Cr Cb

Proved mathematically for the existence of optimum skin

color detector using Neyman-Pearson Test


• Hsv size gave the best performance, superior to the other

model with less false detection

• Hsv model gives slightly better performance as compared to

Gaussian mixture.

• It is possible that color spaces other than RGB could result in

improved detection performance.


comparison of 5 different color spaces HSV,

HS,Normalized RGB and YCrCb

HSV, HS gave the best results

Normalized rg is not far

behind

YCrCb gave poor results


The project will involve building -:

Create a skin color/texture database

Extract frames from the video to get images that can be used for analysis

Search for skin color in the image

Extract the image part with the skin color.

Shape identification

If match stop video for some minutes repeat,this after sometime


1. Get the

video/image

Pass the video/image

Break the video into

images

Mark objectionable

Detect

skin color

Extract the part with

skin color in it

Shape

identification

Yes No

No end


Create a skin color/texture database

Extract frames from the video to get images that can be used for analysis

Search for skin color in the image

Extract the image part with the skin color.

Shape identification

Post on imposition

We use opencv for implementing modules


With consistency increase growth in the immoral scenece

market we need to stop the people to have illegal use of the it

This tool will help them to detect and block the supply this

things to the people who are not supposed to see them.

This can be also in the censer board to detect any kind of porn.

This can also be used by the parents to stop their children from

watching unwanted thing without their permission or till

he/she is not up to certain age limit. 19 October 2014 Dept of CSE 26

THANK YOU


immoral scene sensoring

Internet