Image and video processing circuitry and method using an image signature
An image processing circuitry configured to: generate, based on obtained image data, a visual content word sequence indicative for a visual content of an image represented by the obtained image data; and generate, based on the generated visual content word sequence, an image signature for the image.
1 . An image processing circuitry configured to:
generate, based on obtained image data, a visual content word sequence indicative for a visual content of an image represented by the obtained image data;
generate, based on the generated visual content word sequence, an image signature for the image;
generate, based on another obtained image data, another visual content word sequence indicative for a visual content of another image represented by the another obtained image data;
compare the visual content word sequence and the another visual content word sequence for at least one manipulation; and
output an alarm indication in response to the comparison between the visual content word sequence and the another visual content word sequence indicating the at least one manipulation.
2 . The image processing circuitry according to claim 1 , wherein the image processing circuitry is further configured to:
generate, based on the generated visual content word sequence, a visual content signature for the generated visual content word sequence, and wherein the image signature is generated by adding the generated visual content word sequence and the visual content signature to metadata of the image.
3 . The image processing circuitry according to claim 1 , wherein:
the image signature is generated by adding the generated visual content word sequence as a watermark to the image.
4 . The image processing circuitry according to claim 1 , wherein;
the image signature is generated by adding the generated visual content word sequence to a blockchain.
5 . The image processing circuitry according to claim 1 , wherein the image processing circuitry is further configured to:
output an indication whether the generated visual content word sequence and another visual content word sequence, generated based on another obtained image data, indicative for a visual content of another image represented by the another image data, are identical.
6 . The image processing circuitry according to claim 5 , wherein:
at least one of the indication, the image together with the generated visual content word sequence and the another image together with the another visual content word sequence is displayed on a display to a user.
7 . The image processing circuitry according to claim 1 , wherein:
the at least one manipulation is caused by artificial intelligence comprising at least one of a generative adversarial network or another deep neural network (DNN).
8 . The image processing circuitry according to claim 1 , wherein:
the visual content word sequence is generated by a neural network based on a convolutional neural network, a captioning network, an encoder-decoder network, or a long short-term memory (LSTM) network.
9 . An image processing method comprising:
generating, based on obtained image data, a visual content word sequence indicative for a visual content of an image represented by the obtained image data;
generating, based on the generated visual content word sequence, an image signature for the image;
generating, based on another obtained image data, another visual content word sequence indicative for a visual content of another image represented by the another obtained image data;
comparing the visual content word sequence and the another visual content word sequence for at least one manipulation; and
outputting an alarm indication in response to the comparison between the visual content word sequence and the another visual content word sequence indicating the at least one manipulation.
10 . The image processing method according to claim 9 , further comprising:
generating, based on the generated visual content word sequence, a visual content signature for the generated visual content word sequence, and wherein the image signature is generated by adding the generated visual content word sequence and the visual content signature to metadata of the image.
11 . The image processing method according to claim 9 , further comprising:
generating the image signature by adding the generated visual content word sequence as a watermark to the image.
12 . The image processing method according to claim 9 , further comprising:
generating the image signature by adding the generated visual content word sequence to a blockchain.
13 . The image processing method according to claim 9 , further comprising:
outputting an indication whether the generated visual content word sequence and another visual content word sequence, generated based on another obtained image data, indicative for a visual content present in another image represented by the another image data, are identical.
14 . The image processing method according to claim 13 , further comprising:
displaying at least one of the indication, the image and the another image on a display to a user.
15 . The image processing method according to claim 9 , wherein:
the at least one manipulation is caused by artificial intelligence comprising at least one of a generative adversarial network or another deep neural network (DNN).
16 . The image processing method according to claim 9 , wherein:
the visual content word sequence is generated by a neural network based on a convolutional neural network, a captioning network, an encoder-decoder network, or a long short-term memory (LSTM) network.
17 . A non-transitory computer-readable recording medium storing instructions configured to cause a processor to perform an image processing method, the method comprising:
generating, based on obtained image data, a visual content word sequence indicative for a visual content of an image represented by the obtained image data;
generating, based on the generated visual content word sequence, an image signature for the image;
generating, based on another obtained image data, another visual content word sequence indicative for a visual content of another image represented by the another obtained image data;
comparing the visual content word sequence and the another visual content word sequence for at least one manipulation; and
outputting an alarm indication in response to the comparison between the visual content word sequence and the another visual content word sequence indicating the at least one manipulation.
18 . The method according to claim 17 , wherein:
the at least one manipulation is caused by artificial intelligence comprising at least one of a generative adversarial network or another deep neural network (DNN).
19 . The method according to claim 17 , wherein:
the visual content word sequence is generated by a neural network based on a convolutional neural network, a captioning network, an encoder-decoder network, or a long short-term memory (LSTM) network.
20 . The method according to claim 17 , further comprising:
generating, based on the generated visual content word sequence, a visual content signature for the generated visual content word sequence, and wherein the image signature is generated by adding the generated visual content word sequence and the visual content signature to metadata of the image.