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BEP for audio/video capture of behaving subjects #1771
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cc @yarikoptic who is providing guidance on this concept. |
An alternative idea is to name the files "_video.mp4|avi|mkv|..." and "_audio.mp3|wav|...". The advantage of this is it may be more clear what these files are. The disadvantages are that this does not make it clear that it's a recording of the subject as opposed to a stimulus, and that it's not clear what you should do if you have an audio/video recording. |
Another alternative idea is to have the files called "_beh.mp3|.wav|.mp4|.mkv|.avi|...", though this conflicts with the current beh modality. If there is a beh.tsv file in the beh/ directory, then it will have an accompanying beh.json file, which would conflict with the json file that corresponds to the data (e.g. beh.mp3) file |
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Some of this may already be covered by the BIDS support for motion data and look at the the eyetracking BEP (PR and HTML) |
tagging @gdevenyi who I think mentioned wanting to work on something like this last time I saw him. |
The ideas for allowing annotations of movies and audios as expressed in issue #153 could be expanded to allow annotation of participant video/audio but in the imaging directories themselves with appropriate file structure to distinguish. |
I like how those different initiatives are synching up. Wouldn't those annotations of videos using HED when experimenters "code" their video be more appropriate as a derivative though. |
Not necessarily.... in one group I worked with on experiments on stuttering -- the speech pathologist's annotations were definitely considered part of the original data. Most markers that you see in typical event files didn't come from the imaging equipment but are extracted from the control software or external devices. The eye trackers have algorithms to mark saccades and blinks and these are written as original data. In my mind, if the annotations pertain to data that has been "calculated" from the original experimental data it should go into the derivatives folder. Annotations pertaining to data acquired during the experiment itself should probably go in the main folder. |
I see I was more thinking of cases where videos of an animal behavior have to be annotated to code when certain behavior happened. Given this is not automated and can happen long time after data acquisition I would have seen this as more derivatives. But your examples show that the answer like in many cases will be "it depends". |
We have potential animal applications in both domains:
also I guess a: |
Would non-contiguous recordings (using the same setup) end up in the same or distinct files? As an example, there could be cases where video recording has been stopped while taking care of a crying baby and resumed later on. Should BIDS try to enforce anything here, or leave it to end users (and data providers)? What about other types of "time-series" data? Not sure about MEG, for EEG I know the EDF+ format allows discontinuous recordings:
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@DimitriPapadopoulos I believe this would be different runs. You would specify the start time of each run in the scans file |
I think there might be multiple scenarios (entities) how it could be handled:
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From the annotation perspective in #153, an
Any of them seems great, I currently suggested
This is similar to having a stimulus with multiple tracks (left or right video streams, multiple audio channels, or separate video and audio), but they are not |
Also, as @bendichter mentioned, this proposal will very soon find its audience in human neuroscience, especially with DeepLabCut adding subject masking capabilities and newer modalities such as LiDAR and wifi motion capture comes into play. It might be useful to have Motion-BIDS maintainers' (@sjeung and @JuliusWelzel) opinions as well. |
How do we feel about this naming convention?
I'm not 100% on it myself but I can't think of anything better. Other options:
Is there any precedence from other standards we could use here? |
Technically mkv is container format, it could have different kinds of video/audio streams. Should we specify non-patent-encumbered video compression formats? |
@bendichter would be good to have your input on the proposed entities here. A specific point of discussion is how open the description of the proposed -annot entity would be: for stimuli only or also for other types of annotations as discussed above? |
@dorahermes I like the idea of a general text annotations file that annotates a media file, and I think that could certainly be relevant downstream of these behavioral capture files. I think the needs of stimuli storage and behavioral capture storage are different. With stimuli, you often have a single file that you play many times across different subjects, sessions, and trials, so it makes sense to have a root folder for these where they can be referenced repeatedly. For behavioral captures, every capture is unique, so it would make more sense to store these alongside other types of recordings. So I like what is going on with stimuli, but I don't want that that to engulf these ideas about how to represent behavioral capture. I also am trying to keep this to an MVP, so I'd like to push off discussion of annotations, though I will say I think the general approach you link to will probably work for behcapture as well with minimal adjustments. |
The most likely culprit here would be H264, which is used in mpeg files, however it seems that would be a non-issue since this would be covered under the "Free Internet Broadcasting" consideration (source) |
FWIW, I also think that we should have "audio", "video" in suffix (ref elsewhere) but do not think we should want to collapse an "intent" (beh) into it, moreover since we do have datatype |
I think there is a good amount of overlap (datatypes, extensions) with "stimuli" BEP044. @bendichter when you get a chance, have a look at that BEP google doc.
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That raises a different question (apologies in advance for derailing this conversation on suffixes, which is closing in on some consensus): How would we store video/audio files capturing multiple subjects at once? It's quite common to acquire videos with multiple subjects. It will be tricky to do given BIDS' subject-first approach. But perhaps this is out-of-scope, in which case ignore my question. |
some of those derivatives files are an artifact of the past. those are no longer really there. in terms of the broader space for audio-video capture, in the BBQS consortium where some of this is highly relevant, there are projects on dyadic interaction, navigation in the wild, in specific settings (e.g. hospital rooms and houses), multiple cameras/devices, etc.,. so capturing context will be as important as storing the streams. |
@niksirbi, this is tricky. BIDS' file hierarchy assumes a subject -> session structure where a session has a single subject. My first thought would be to create two different session folders, one for each subject, and use a softlink to link them together. Fortunately, in DANDI (and maybe OpenNeuro?), files that are exactly identical are de-duplicated, so it would be not problem to have multiple sessions with the same video capture file, even if that file takes different names. |
Something like that seems like a good compromise. |
softlink/symlink is filesystem specific solution, thus not encouraged/used anywhere in BIDS.
That is exactly why I also would prefer to stay away from using suffix for depicting intention/purpose for the file. So far we mostly avoided that in BIDS, as suffixes describe content not intention per se. E.g. someone could potentially use Also I dislike "capture" since too generic -- all data is "captured". Even movie videos from Hollywood are "captured" by video cameras. But I do confirm that we do have potential for a conflict ambiguity ATM! E.g.,how do we organize and name files for a session where subject was presented with a particular to that subject/session movie stimuli Hence -- we have two [*] hence does not make sense for placing into top level |
I have said that but forgot about BIDS URIs, https://bids-specification.readthedocs.io/en/stable/common-principles.html#bids-uri , so those could potentially be used I guess (ATM we have those + ad-hoc pointers like |
I believe neither this BEP nor BEP044 proposes a solution for this case (stimulus files per subject in the subject/session directories). I agree that with some use cases that this BEP will accommodate, it is only natural to have an entity to determine the scope of the recording. An example that comes to my mind is the STRUM task/dataset, in which two subjects collaborate in a first-person game environment with recordings from (among many datastreams) EEG, eye-tracking, and videos of the participants' faces (behavior), screens (stimulus), and eye-gaze (both behavior and stimulus). Sample videos are here (I removed the face camera video because they are not anonymized). |
I think I may be a bit confused. My reading of BEP044 is that all stimuli go in a stimuli directory at the root of the dataset, even if they are subject- or session-specific stimuli. If we wanted to modify it, we could allow for a stimuli directory at the subject or session level. Then we wouldn't ever have a naming collision with these captured videos. |
If I understand correctly, you are talking about differentiating between multiple simultaneous video recordings, right? I proposed this in the initial comment
would that handle this or am I missing something about your example? |
AFAIK, the
Yes, but as in the example, and the case @yarikoptic raised, some videos may not have any behavior in them (being stimulus presentation). It might be beneficial to have a way to differentiate them, either with the |
FTR, some of the openneuro datasets with videos under per-subj folders, likely with beh recordings*$> for ds in ds*; do find $ds/sub-* -iname *.avi -o -iname *.mp4 -o -iname *.mkv | head; done
find: ‘ds001107/sub-*’: No such file or directory
find: ‘ds003676/sub-*’: No such file or directory
ds004505/sub-06/video/sub-06_trial-01.mp4
ds004505/sub-06/video/sub-06_trial-02.mp4
ds004505/sub-06/video/sub-06_trial-03.mp4
ds004505/sub-06/video/sub-06_trial-04.mp4
ds004505/sub-06/video/sub-06_trial-05.mp4
ds004505/sub-06/video/sub-06_trial-06.mp4
ds004505/sub-06/video/sub-06_trial-07.mp4
ds004505/sub-06/video/sub-06_trial-08.mp4
ds004505/sub-06/video/sub-06_trial-09.mp4
ds004505/sub-06/video/sub-06_trial-10.mp4
ds004598/sub-01/ses-1/eeg/sub-01_ses-1_task-LinearTrack_video.avi
ds004598/sub-02/ses-1/eeg/sub-02_ses-1_task-LinearTrack_video.avi
ds004598/sub-02/ses-2/eeg/sub-02_ses-2_task-LinearTrack_video.avi
ds004598/sub-02/ses-3/eeg/sub-02_ses-3_task-LinearTrack_video.avi
ds004598/sub-03/ses-1/eeg/sub-03_ses-1_task-LinearTrack_video.avi
ds004598/sub-03/ses-2/eeg/sub-03_ses-2_task-LinearTrack_video.avi
ds004598/sub-04/ses-1/eeg/sub-04_ses-1_task-LinearTrack_video.avi
ds004598/sub-04/ses-2/eeg/sub-04_ses-2_task-LinearTrack_video.avi
ds004598/sub-05/ses-1/eeg/sub-05_ses-1_task-LinearTrack_video.avi
ds004598/sub-05/ses-2/eeg/sub-05_ses-2_task-LinearTrack_video.avi
find: ‘ds004643/sub-*’: No such file or directory
ds005127/sub-00002/ses-1/video/sub-00002_ses-1_task-sleep_run-20160531_2257.avi
ds005127/sub-00002/ses-1/video/sub-00002_ses-1_task-sleep_run-20160531_2330.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160712_2255.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160712_2350.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0013.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0142.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0222.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0310.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0338.avi
ds005127/sub-00003/ses-1/video/sub-00003_ses-1_task-sleep_run-20160713_0459.avi
find: ‘ds005443/sub-*’: No such file or directory
find: ‘ds005590/sub-*’: No such file or directory
Example(s) in dandi (not yet BIDS): |
I had a conversation just now with @yarikoptic that helped me understand his perspective on the (lack of) a concrete differentiation between video stimuli and video recordings/capture. The idea is that even when you display images it can be hard to fully reproduce that exact stimulus with all of the display settings, and you could resolve this with a screen recording. In this case you are in fact recording/capturing a stimulus, and the differentiation between the two breaks down. This also explains why Yarik wants to store stimuli in a session folder as opposed to a root stimuli folder. If the images are shown in a random order or timing, you would have a different video for every single session. The same would apply to auditory stimuli. I guess the questions are: do we want this BEP to handle this use-case, or is this sufficiently different from the original motivation of capturing behavior? Perhaps handling that use-case would be better suited for the stimuli PR here? |
I think that would firmly fall under "stimuli", not a measurement of behaving subjects. |
I vote not putting this in the stimuli BEP. I suspect that filming the stimulus as it is being presented is an edge use case. On the other hand, experiments using standardized, well-annotated stimulus corpus (examples: Forrest movie, the Present movie, the emotion database of images, the database of standardized language stimuli) appear extensively in the literature and in shared data. |
I didn't think that discussing individual stimulus files present in the individual subject/session directories are particularly relevant to BEP044 #2022, but I guess we have to address it in BEP044 anyway. The reason is #750 (which I was ignorant to), and also the changes made in the
(IMO, this description conflicts with BEP044, but that is another discussion probably for BEP044). Then, the implications for this issue might be:
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fresh related aspect worth exercising for this BEP (behavior subjects capture) in particular. Inspired by demonstrated originally by @talmo from SLEAP, and observing thousands of video recordings, many of which are splits based on capture hardware restrictions and desires to avoid broken recordings/data loss: e.g. day long recording with separate file for each 10 minutes so if hardware crashes/reboots, only up to 10 minutes video is lost. That results in 6*24 = 144 videos per subject/day. Now think of a week or a month of recording and multiple subjects. Scales up quickly. In DANDI we already place supplemental (to .nwb files) videos into subfolder , so e.g. for |
What is the specific worry about having so many videos? This seems to be a clear application of the split entity: https://bids-specification.readthedocs.io/en/stable/appendices/entities.html#split |
Hey there, Not sure if this matters for the split entity usage (or if I'm getting the context right), but MP4s and other video containers tend to be pretty picky about integrity (e.g., some have lookup tables stored in the tail bytes, others have different degrees of tolerance for missing packets), so it's not very easy to merge/split them at the byte level without re-encoding. And to be clear Ben: we're talking about billions of frames across tens of thousands of files. Doing any kind of manipulation (honestly even moving them) is painful at that scale. Disregard if not relevant to this discussion though :) |
The split entity is designed exactly for this scenario - I'm not suggesting we merge or manipulate the video files at all, just organize the naming of your existing files to show that they're segments of a single continuous recording from one camera. For example:
While renaming will be needed for BIDS compliance, this naming scheme makes the relationship between files clear without requiring any manipulation of the video data itself. |
I also know of other projects that store long 24h recording in 1h chunks, for the reasons Talmo mentioned. |
@bendichter I would still like to excercise more the idea of having some dedicated sub-folder e.g. per each run or alike.
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@niksirbi do you have some publicly available datasets with such data? |
The ones I had in mind are not public, at least not yet... |
Can you explain why you want to avoid having many assets? What problems would arise? How does a zarr structure address these problems? My impression is that cloud storage is perfectly happy to have many small files, and zarr actually wouldn't change that anyway. Are there reasons why that would become an issue on the database or front-end layer? Handling compressed video data in Zarr would be really tricky. It is sounds like it would require quite a bit of either bending of the Zarr standard or conversion of the raw data to comply with Zarr.
OK, this is a concern. We certainly do not need 144 separate json files describing the same camera and recording setup for 144 splits of a video. But is this really the way things are currently done? For fif data, do you have a json for each fif file, or is there one that applies to all splits? Would it be possible for us to designate that a single annotation file can apply to all splits? |
Sorry -- too many |
@yarikoptic thanks for the clarification. I'm still not clear on what problem is being addressed here. What's wrong why having lots of assets? Also, I think a common use case might be for users to want to download specific video files and not the entire block. How could this be accomplished under your single asset solution without some sort of zarr-like indexing? |
Similarly to how we are working it out for zarr components which are easily navigatable (e.g on webdav and github, s3 clients) ; e.g. in dandi/dandi-cli#1572 . That is just a tech aspect. At the level of BIDS, also dumping 1000s of audio/video recordings per |
I still don't really see the advantage of grouping them into a single asset. I think if I were a user if a dataset has a lot of mp4 videos then that's what I'd like to see. It will make the structure of the data obvious as well as how I can access, stream, and/or download an individual video file. With DANDI/EMBER, we could easily implement pagination. I suppose it would not be ideal to have some of the non-video data streams on the last page so we could put the videos in a dedicated folder. We do have a |
Subdirectory sounds like a good call 🤙 |
I would like to create a BEP to store the audio and/or video recordings of behaving subjects.
While this would obviously be problematic for sharing human data, it would be useful to internal human data and for internal and shared data of non-human subjects.
Following the structure of the Task Events we will define types of files that can be placed in various data_type directories.
This schema will follow the standard principles of BIDS, listed here for clarity:
beh/
._split-
entity._recording-
entity to differentiate. We will need to modify the definition of this term to generalize it a bit to accommodate this usage. This entity would also be used to differentiate if a video and audio were recorded simultaneously but from different devices. Not that simply using the file extension to differentiate would not work because it would not be clear which file the .json maps to.scans.tsv
file.The JSON would define "streams" which would define each stream in the file.
The
*_beh.json
would looks like this:To be specific, it would follow this JSON Schema structure:
This BEP would be specifically for audio and/or video, and would not include related data like eye tracking, point tracking, pose estimation, or behavioral segmentation. All of these would be considered derived and are reserved for another BEP.
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