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originally posted by: leolady
Interesting technology, I can think of several beneficial uses
Reconstructing audio from video requires that the frequency of the video samples — the number of frames of video captured per second — be higher than the frequency of the audio signal. In some of their experiments, the researchers used a high-speed camera that captured 2,000 to 6,000 frames per second. That’s much faster than the 60 frames per second possible with some smartphones, but well below the frame rates of the best commercial high-speed cameras, which can top 100,000 frames per second.
The researchers’ technique has obvious applications in law enforcement and forensics, but Davis is more enthusiastic about the possibility of what he describes as a “new kind of imaging.”
“We’re recovering sounds from objects,” he says. “That gives us a lot of information about the sound that’s going on around the object, but it also gives us a lot of information about the object itself, because different objects are going to respond to sound in different ways.” In ongoing work, the researchers have begun trying to determine material and structural properties of objects from their visible response to short bursts of sound.
“This is new and refreshing. It’s the kind of stuff that no other group would do right now,” says Alexei Efros, an associate professor of electrical engineering and computer science at the University of California at Berkeley. “We’re scientists, and sometimes we watch these movies, like James Bond, and we think, ‘This is Hollywood theatrics. It’s not possible to do that. This is ridiculous.’ And suddenly, there you have it. This is totally out of some Hollywood thriller. You know that the killer has admitted his guilt because there’s surveillance footage of his potato chip bag vibrating.”
originally posted by: neoholographic
a reply to: EvillerBob
Sorry but you have it all wrong. You need to read the article and the link to M.I.T. news where they explain what is happening.
Like I said they're recreating these sounds through vibrations that can't even be seen. These vibrations can even be picked up through soundproof glass. You still haven't explained your position based on the algorithm that's being discussed.
First, these were done with very good cameras but you can get even better quality with cameras that have better frame per second. Here's more:
...
What you're saying has nothing to do with the technology and the algorithm they uses to recreate the sound. This is why it's talked about being used by law enforcement.
It's next to impossible to manipulate vibrations that you can't even see.
...
The researchers are talking about using it in law enforcement, forensics and other places because like I said it's next to impossible to manipulate vibrations that you can't even see. So what you're saying has nothing to do with the article or the technology. It ended with this:
...
So like I said, based on what the researchers are saying, the algorithm and the vibrations being used to recreate the sound, what exactly are you talking about?
What you're saying has nothing to do with the technology and the algorithm they uses to recreate the sound. This is why it's talked about being used by law enforcement.
It's next to impossible to manipulate vibrations that you can't even see.
Something is moving. If you want to change how it moves, you could hold it tight to stop it moving. You could push it harder to make it move more. You could wave that bag of crisps around in the air while you talk, and suddenly the algorithm would be faced with the massive (and probably insurmountable at this stage) challenge of working out which movements were the result of sound and which were the result of you moving the bag.
The researchers developed an algorithm that combines the output of the filters to infer the motions of an object as a whole when it’s struck by sound waves. Different edges of the object may be moving in different directions, so the algorithm first aligns all the measurements so that they won’t cancel each other out. And it gives greater weight to measurements made at very distinct edges — clear boundaries between different color values.
The researchers also produced a variation on the algorithm for analyzing conventional video. The sensor of a digital camera consists of an array of photodetectors — millions of them, even in commodity devices. As it turns out, it’s less expensive to design the sensor hardware so that it reads off the measurements of one row of photodetectors at a time. Ordinarily, that’s not a problem, but with fast-moving objects, it can lead to odd visual artifacts. An object — say, the rotor of a helicopter — may actually move detectably between the reading of one row and the reading of the next.
Your entire post doesn't refute anything I have said.
originally posted by: neoholographic
Nobody has talked about magic waves or invisible waves. Of course we're talking about vibrations that can't be seen by the naked eye. This is what the article talks about so your mentioning of magic waves is just a red herring that you mentioned to try to mask the point that you don't know what you're talking about. Who said anything about magic waves???
originally posted by: neoholographic
You have to have fast moving objects like the rotor of a helicopter to begin to see strange visual effects that can effect the recreation of sound but they go on to say these vibrations can still be detected.
originally posted by: neoholographic
...the algorithm recreates sounds from the room. So the algorithm will only pick up any waving of a bag of chips if it's making sound. This why I keep asking you about the basis of what you're saying based on the actual algorithm.
What they have shown is that you can zero in on just about anything in a room and recreate the sounds coming from the room.
These vibrations aren't distorted by someone waving around a bag of chips.
Based on your posts, I was trying to understand how you came to form your opinion of how the technology worked. You did not use those exact phrases, but the only way some of your comments make sense is if you considered the vibration from the song/voice to somehow be fundamentally different to any other vibration or movement.
The researchers also produced a variation on the algorithm for analyzing conventional video. The sensor of a digital camera consists of an array of photodetectors — millions of them, even in commodity devices. As it turns out, it’s less expensive to design the sensor hardware so that it reads off the measurements of one row of photodetectors at a time. Ordinarily, that’s not a problem, but with fast-moving objects, it can lead to odd visual artifacts. An object — say, the rotor of a helicopter — may actually move detectably between the reading of one row and the reading of the next.
For Davis and his colleagues, this bug is a feature. Slight distortions of the edges of objects in conventional video, though invisible to the naked eye, contain information about the objects’ high-frequency vibration. And that information is enough to yield a murky but potentially useful audio signal.
That technique passes successive frames of video through a battery of image filters, which are used to measure fluctuations, such as the changing color values at boundaries, at several different orientations — say, horizontal, vertical, and diagonal — and several different scales.
The researchers developed an algorithm that combines the output of the filters to infer the motions of an object as a whole when it’s struck by sound waves. Different edges of the object may be moving in different directions, so the algorithm first aligns all the measurements so that they won’t cancel each other out. And it gives greater weight to measurements made at very distinct edges — clear boundaries between different color values.
The researchers developed an algorithm that combines the output of the filters to infer the motions of an object as a whole when it’s struck by sound waves.
I ask you again, based on this algorithm how could someone move a bag a chips fast enough to avoid the recreation of sound through vibrations that are less than 100th of a pixel?
The video cameras frame rate has to be high for it to work most effectively and yes they did show that a slower frame rate still works but quality goes down.
Reconstructing audio from video requires that the frequency of the video samples — the number of frames of video captured per second — be higher than the frequency of the audio signal. In some of their experiments, the researchers used a high-speed camera that captured 2,000 to 6,000 frames per second. That’s much faster than the 60 frames per second possible with some smartphones, but well below the frame rates of the best commercial high-speed cameras, which can top 100,000 frames per second.
eventually the algorithm might be used on older videos as well.
I ask you again, based on this algorithm how could someone move a bag a chips fast enough to avoid the recreation of sound through vibrations that are less than 100th of a pixel?
Reconstructing audio from video requires that the frequency of the video samples — the number of frames of video captured per second — be higher than the frequency of the audio signal. In some of their experiments, the researchers used a high-speed camera that captured 2,000 to 6,000 frames per second. That’s much faster than the 60 frames per second possible with some smartphones, but well below the frame rates of the best commercial high-speed cameras, which can top 100,000 frames per second.
That technique passes successive frames of video through a battery of image filters, which are used to measure fluctuations, such as the changing color values at boundaries, at several different orientations — say, horizontal, vertical, and diagonal — and several different scales.
You can't be serious.
originally posted by: ZetaRediculian
a reply to: neoholographic
You can't be serious.
um, yes. I am very familiar with vision software and it is painfully obvious that you are not. Thanks for the link. Enjoy your fantasy.
originally posted by: leolady
Yes and that is interesting to me.
I was having a discussion this morning with someone and we were saying what if we could go back and look at the JFK shooting video to find more answers that were never resolved.
leolady