Mixing
Extend video classification methods to predicting performance of video advertisements
I have a large set of videos that are basically ads for a particular product(for example - a smartphone) and these ads ran in market in the past. As a measure of the performance of those videos, I have a 1/0 variable that defines whether that video performed or not. Performance is defined as whether the video was successful in raising consideration of the phone for the people who saw the videos. Some of the past research indicates that things like "how long does the brand stay on screen", "how many humans are in the ad", "length of video" and many more factors affect the performance of the video
I am looking to build a model that can predict the performance of a new video. I was looking to leverage some of the video classification methods primarily leveraging a combination of ConvNet and RNN. Before I go down the path of researching on this, I wanted to know if I there is merit in going down this path at all
I am new to CNN and RNN and hence any help is greatly appreciated
tensorflow video machine-learning conv-neural-network recurrent-neural-network
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
add a comment |
I have a large set of videos that are basically ads for a particular product(for example - a smartphone) and these ads ran in market in the past. As a measure of the performance of those videos, I have a 1/0 variable that defines whether that video performed or not. Performance is defined as whether the video was successful in raising consideration of the phone for the people who saw the videos. Some of the past research indicates that things like "how long does the brand stay on screen", "how many humans are in the ad", "length of video" and many more factors affect the performance of the video
I am looking to build a model that can predict the performance of a new video. I was looking to leverage some of the video classification methods primarily leveraging a combination of ConvNet and RNN. Before I go down the path of researching on this, I wanted to know if I there is merit in going down this path at all
I am new to CNN and RNN and hence any help is greatly appreciated
tensorflow video machine-learning conv-neural-network recurrent-neural-network
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
add a comment |
I have a large set of videos that are basically ads for a particular product(for example - a smartphone) and these ads ran in market in the past. As a measure of the performance of those videos, I have a 1/0 variable that defines whether that video performed or not. Performance is defined as whether the video was successful in raising consideration of the phone for the people who saw the videos. Some of the past research indicates that things like "how long does the brand stay on screen", "how many humans are in the ad", "length of video" and many more factors affect the performance of the video
I am looking to build a model that can predict the performance of a new video. I was looking to leverage some of the video classification methods primarily leveraging a combination of ConvNet and RNN. Before I go down the path of researching on this, I wanted to know if I there is merit in going down this path at all
I am new to CNN and RNN and hence any help is greatly appreciated
tensorflow video machine-learning conv-neural-network recurrent-neural-network
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
I have a large set of videos that are basically ads for a particular product(for example - a smartphone) and these ads ran in market in the past. As a measure of the performance of those videos, I have a 1/0 variable that defines whether that video performed or not. Performance is defined as whether the video was successful in raising consideration of the phone for the people who saw the videos. Some of the past research indicates that things like "how long does the brand stay on screen", "how many humans are in the ad", "length of video" and many more factors affect the performance of the video
I am looking to build a model that can predict the performance of a new video. I was looking to leverage some of the video classification methods primarily leveraging a combination of ConvNet and RNN. Before I go down the path of researching on this, I wanted to know if I there is merit in going down this path at all
I am new to CNN and RNN and hence any help is greatly appreciated
tensorflow video machine-learning conv-neural-network recurrent-neural-network
tensorflow video machine-learning conv-neural-network recurrent-neural-network
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
edited Nov 19 '18 at 23:43
Akshar Gupta
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
asked Nov 13 '18 at 8:26
Akshar GuptaAkshar Gupta
162
162
add a comment |
add a comment |
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