Your adding things that would allow a binary search work, but the question was in a situation where the only evidence is the conflict itself
I’m describing the vast majority of fights that happen in the public. Also, you’re trying to move the goalposts by focusing on a fight, when the discussion is about the theft of a bike.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
What does that have to do with a binary search If a camera has AI on it then two things. A you have a system that already would be capturing movement or motion so you already have flags that you can check which would make a binary search mostly unnecessary. and B it’s not binary search. Which is this whole discussion.
Cool you’re adding information to the question to make yourself “right” but even your comment says that’s only the vast majority of fights and also you had to clarify in public so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
A solution doesn’t have to work for 100% of things for it to still be a good solution.
Cool you’re adding information to the question to make yourself “right”
No, I’m not. Within the moment I’m creating a comment I might save and then edit, because in the past I lost whole comments when I switch tabs in my browser. But when I’m done and hit that save I’m done, and then a few cases when I’m not I add an “Edit:” to it.
but even your comment says that’s only the vast majority of fights and also you had to clarify in public
Well most fights are in public, if a public camera is recording it. If a fight is private then it’s probably not being done where a camera is.
so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
The only edge case I could think of would be if something happens in a split second and then the scene is static again, the same before and after that.
But even then if you’re talking about a static scene on the camera AI would probably be able to catch that split second change happening, so binary searching can still be done.
I have a feeling you just don’t understand how a binary search functions even with AI you wouldn’t be using a binary search at that point
If you have camera footage from 4pm to 8pm with event lasting 1 minute but no changes occur to the background/foreground how exactly are you using recursion to determine which part of the footage even occurred without going through the entire film. Are you picking at random?
The way you’re describing AI is not binary search and so it can’t be used in this example. Also most public cameras are not 8K cameras they don’t contain a lot of detail, so the argument that they could catch something subtle kinda gets blown out of the water. You can’t just use AI as a cop out for not understanding how function behaves or works
What does that have to do with a binary search If a camera has AI on
You can have a AI do the actual binary search as described by the OP in his comment pic. Doesn’t have to be a human being that does it, but the process would be done the same way by either.
My mentioning motion detection is just that an AI would be able to detect the moment of change in the video, the focus point more readily than a human being, is all.
I’m describing the vast majority of fights that happen in the public.
But the comment you replied to already addressed those fights, and bike thefts, and the vast majority of cases that you’re talking about, by saying
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
No one is moving goalposts. The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
In your hypothetical situation involving AI, the AI would use visual cues that are present, and so the situation is covered by the parent comment’s second paragraph. In a situation where there are no visual cues for the AI to use, it would be covered by the third paragraph. They still aren’t wrong about anything.
The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
Just repeating myself at this point, but I was responding to this (the bolded part) …
Part of my job is to review security footage for reported incidents.
If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.
If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
I disagree with the “leaves no visual cue” part, as I’ve commented on. There’s ALWAYS something caught on the video to help determine things. Maybe not enough, but never nothing.
Then you should be responding to the “leaves no visual cues” part, not the “binary search is useless” part. If there WERE a situation that left no visual cues, THEN binary search WOULD be useless. It does not matter whether there ARE such situations.
I’m describing the vast majority of fights that happen in the public. Also, you’re trying to move the goalposts by focusing on a fight, when the discussion is about the theft of a bike.
Edit: One thing we didn’t even mention, AI can also be used these days to notice subtle changes in the video. If a video is a static image of an alley, then two people walk in the alley and fight, even though they leave no traces behind, that moment of the fight is caught on the video with activity/movement. Motion sensor movement, basically.
What does that have to do with a binary search If a camera has AI on it then two things. A you have a system that already would be capturing movement or motion so you already have flags that you can check which would make a binary search mostly unnecessary. and B it’s not binary search. Which is this whole discussion.
Cool you’re adding information to the question to make yourself “right” but even your comment says that’s only the vast majority of fights and also you had to clarify in public so there are edge cases where the situation still stands that binary search wouldn’t work or wouldn’t be feasible.
A solution doesn’t have to work for 100% of things for it to still be a good solution.
No, I’m not. Within the moment I’m creating a comment I might save and then edit, because in the past I lost whole comments when I switch tabs in my browser. But when I’m done and hit that save I’m done, and then a few cases when I’m not I add an “Edit:” to it.
Well most fights are in public, if a public camera is recording it. If a fight is private then it’s probably not being done where a camera is.
The only edge case I could think of would be if something happens in a split second and then the scene is static again, the same before and after that.
But even then if you’re talking about a static scene on the camera AI would probably be able to catch that split second change happening, so binary searching can still be done.
Pretty good trolling, not gonna lie.
Not trolling at all.
I have a feeling you just don’t understand how a binary search functions even with AI you wouldn’t be using a binary search at that point
If you have camera footage from 4pm to 8pm with event lasting 1 minute but no changes occur to the background/foreground how exactly are you using recursion to determine which part of the footage even occurred without going through the entire film. Are you picking at random?
The way you’re describing AI is not binary search and so it can’t be used in this example. Also most public cameras are not 8K cameras they don’t contain a lot of detail, so the argument that they could catch something subtle kinda gets blown out of the water. You can’t just use AI as a cop out for not understanding how function behaves or works
I’ve written binary searches before. I understand how they work.
You can have a AI do the actual binary search as described by the OP in his comment pic. Doesn’t have to be a human being that does it, but the process would be done the same way by either.
My mentioning motion detection is just that an AI would be able to detect the moment of change in the video, the focus point more readily than a human being, is all.
But the comment you replied to already addressed those fights, and bike thefts, and the vast majority of cases that you’re talking about, by saying
No one is moving goalposts. The parent comment said that binary search is useful in situations like bike thefts where visual cues are present, and not useful in situations where visual cues are not present.
In your hypothetical situation involving AI, the AI would use visual cues that are present, and so the situation is covered by the parent comment’s second paragraph. In a situation where there are no visual cues for the AI to use, it would be covered by the third paragraph. They still aren’t wrong about anything.
Just repeating myself at this point, but I was responding to this (the bolded part) …
Then you should be responding to the “leaves no visual cues” part, not the “binary search is useless” part. If there WERE a situation that left no visual cues, THEN binary search WOULD be useless. It does not matter whether there ARE such situations.
I did, by disagreeing with that statement, and listing reasons why.