作者：
R C KonapureL M R J LoboPG Student
Department of Computer Science and Engineering Walchand Institute of Technology P.A.H. Solapur University Solapur Maharashtra India Professor
Department of Computer Science and Engineering Walchand Institute of Technology P.A.H. Solapur University Solapur Maharashtra India
Content-based advertising is a method by which we advertise on a video media based on a relevant topic assigned to the video. In digital advertising, the advertisements shown to a user is based on the user's behav...
Content-based advertising is a method by which we advertise on a video media based on a relevant topic assigned to the video. In digital advertising, the advertisements shown to a user is based on the user's behaviour on the internet. Streaming platforms are then used to target audience based on parameters like user's geo-location, interests, watch history, age, etc. In most cases, the advertisements shown are not relevant; an undesired impact is created. Content-based advertising helps to convey the message with increased efficiency and simultaneously optimizes its conversion rate. In this proposed system we take the video metadata as input and apply the NLP techniques for text classification which categories the video and assigns a relevant advertisement to it. The second module takes the video as an input. Thereafter the video is converted into N individual frames to tackle the video classification as an image classification problem. In this proposed system we train a Convolutional Neural Network to identify the topic of the video on an image dataset and compare its performance with a pre-trained model. We create the image dataset by downloading images from the internet. We also create a video advertisement's dataset by web scrapping. This proposed system makes sure that the user is shown the advertisement in reference to the video. This increases probability of the user visiting the client's website.
作者：
V R NampelliDr Pratibha YalagiPG Student
Department of Computer Science and Engineering Walchand Institute of Technology P.A.H. Solapur University Solapur Maharashtra India Professor
Department of Computer Science and Engineering Walchand Institute of Technology P.A.H. Solapur University Solapur Maharashtra India
In recent years, there is a remarkable rise in the use of electronic appliances in many homes and corporate offices. Such appliances include Air Conditioners, Smart Lights, Refrigerators, and CCTV Cameras, etc. To kee...
In recent years, there is a remarkable rise in the use of electronic appliances in many homes and corporate offices. Such appliances include Air Conditioners, Smart Lights, Refrigerators, and CCTV Cameras, etc. To keep such appliances in a proper working condition, functional working of appliances needs to be checked. Changing the place of appliance, improper settings, cleaning of rooms, etc. lead appliances to failure. In proposed system sensors are used to track the functional working of appliances in real time or when there is a need arises to check working of the appliances before and after the maintenance is done. This sensor data is collected in database server. At database server, preprocessing of data is done to get accurate results. Then preprocessed sensor data are compared with the manufacturer's data (sensor data when the appliance is in ideal working conditions). For comparison of sensor data with the manufacturer's data, a Change Detection algorithm is used in the proposed system. The results of the Change Detection algorithm are shown in the form of graphs on the user interface at the server. This is accessed and analyzed using a mobile application in smartphones and a web browser in a desktop PC with, authorized login credentials provided to owners and technicians of appliances. This helps technician or the owner of appliance to identify the basic cause of appliance failure and do necessary repair whenever needed.
Facial Expression Recognition is the critical part in the human emotional detection in the field of image processing. The application tends to soft or hard real time application based on the power of expression detect...
Facial Expression Recognition is the critical part in the human emotional detection in the field of image processing. The application tends to soft or hard real time application based on the power of expression detection of idle image or videos. The Social communication with any object can be done by verbal or non-verbal format. Expression and Emotion detection completely rely on the non-verbal communication and facial expression. Machine Learning play an important role in the recognition of facial expression. An attempt is made in this paper to analyse the performance of Convolutional neural network models with diverse activation layer for the performance ***, the facial expression dataset is extracted from the website http://***/ckagree/, http://***/database/faces/ is subjected with the data processing. Secondly, the data analysis is done for the distribution of expression image in the training and testing dataset. Thirdly, the facial expression images are detected with HAAR cascade and then the images are cropped with (350, 350). Fourth, the facial expression images is applied with normalized and the bottleneck features are created for training and testing data. Fifth, the training dataset is fitted with convolutional sequential neural network models with various activation layers like Sigmoid, Elu, Relu, Selu, Tanh, Softsign and Softplus. Sixth, the performance analysis is done with loss and accuracy for all the epoch of all CNN models for all the activation layers. Experimental results show that CNN sequential model with Relu activation layer is found to have the accuracy of 100%.
作者：
R. Raja KumarR. PandianT. Prem JacobA. PravinP. IndumathiProfessor
Mathematics Department Sathyabama Institute of Science and Technology Sholinganallur Chennai India Associate Professor
Department of Electronics and Instrumentation Engineering Sathyabama Institute of Science and Technology Sholinganallur Chennai India Associate Professor
Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Sholinganallur Chennai India Professor
Department of Electronics Engineering MIT Campus of Anna University Chennai India
Seemingly random, chaotic dynamic systems have state variables that move about in a non periodic, bounded fashion. The sensitivity to initial conditions of chaotic signals also holds an interesting pattern. A seemingl...
Seemingly random, chaotic dynamic systems have state variables that move about in a non periodic, bounded fashion. The sensitivity to initial conditions of chaotic signals also holds an interesting pattern. A seemingly tiny change in the values of initial condition, can greatly affect the values of output. This means that the cross-correlation of two chaotic functions of same source is very low. This pattern of chaotic functions makes their use in the field of cryptography more interesting. A more complex version of chaos is the multiple-chaos, where two or more chaotic functions are used, enhances the security of the procedure. Additionally the dynamically varying look-up table, which is being transmitted along with the encrypted message, ensures high reliability in transmitting the data. Overall, this method ensures high security and high reliability in transmitting the data.
Artificial Neural Networks (ANN) generally referred to as Neural Networks are the statistical model, It is mainly focused on the biological neuron for the information or signal processing. A neural network is a dynami...
Artificial Neural Networks (ANN) generally referred to as Neural Networks are the statistical model, It is mainly focused on the biological neuron for the information or signal processing. A neural network is a dynamic system consisting of a community of interconnected neurons that offers a very exciting solution to complex problem solving and other applications that can play a crucial role in today's technology. In this paper we are using various process like pattern recognition, prediction and optimization of blood cells is usually undertaken to help clinicians determine a wide variety of haematics. Pathologies identify dengue, anemia, diabetes and other related diseases.
The article deals with the problem of separation of combed heap of winter wheat with an experimental working unit consisting of a segregator and a sieve. In order to expand the range of information on the qualitative ...
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Nowadays E-commerce plays a major role in a business organization. People prefer online shopping rather than offline shopping which helps them to purchase their product from anywhere around the world through mobile ph...
Nowadays E-commerce plays a major role in a business organization. People prefer online shopping rather than offline shopping which helps them to purchase their product from anywhere around the world through mobile phones and laptop. Online shopping websites help people by saving time and product order can be done easily by clicking the product. Online shopping websites are built using the Single Page Application (SPA) framework and the objective of this research is to find the customer preference product prediction by tracking the frequent clicks of the product by the customer. By tracking the clicks of customer we can find their product choice and helps retailer to add the products according to user preference.
The Computational Visual Media(CVM)conference series is intended to provide a major international forum for exchanging novel research ideas and significant computational methods that either underpin or apply visual **...
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The Computational Visual Media(CVM)conference series is intended to provide a major international forum for exchanging novel research ideas and significant computational methods that either underpin or apply visual *** primary goal is to promote cross-disciplinary research to amalgamate aspects of computergraphics,computer vision,machine learning,image and video processing,visualization and geometric *** main topics of interest to CVM include classification,composition,retrieval,synthesis,cognition and understanding of visual media(e.g.,images,videos,3D geometry).
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating team...
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Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD). This paper presents results fr...
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