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MSC2448: Using BlurHash as a Placeholder for Matrix Media #2448
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MSC2448: Using BlurHash as a Placeholder for Matrix Media #2448
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Slight hurdle, blurhash doesn't support transparencies so doesn't seem appropriate for Stickers
The reference site breaks when given a transparency
woltapp/blurhash#100
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random thought: it might be worth defining a "shape" next to the blurhash where a polygon of max 12 points (or whatever) can be defined
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Sounds like you want to maintain cross-platform libraries which extend blurhash with generic path masking :D
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I now realize this is a no-go. A square sticker isn't that bad: clients might want to put a circle or something around it as a border to match the rough shape of most stickers.
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One hacky solution is to generate a blurhash on black and a blurhash on white, the client can then pick the once closest to the theme. But that doubles the storage space. If you wanted to get super fancy a client can probably diff the two and tease the transparency info out. But I don't want to mandate that in the spec. (I would rather wait for a blurhashv2 to come out with transparency support).
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tbh I disagree, only because stickers look broken with a full-frame blurhash.
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The current state of blurhash not supporting transparency (and little movement on this front from the upstream library) is a good sign to potentially back away from supporting blurhashes for
m.sticker
events at the moment, and leave it as a separate optimisation as @sumnerevans mentioned.The path data sounds like a potential solution, and other messages services such as Telegram indeed use that method to great effect. Some thought will need to be given to animated stickers though, and what frame should be used when capturing a silhouette of the media (the first frame would not always be effective).
Blurhashes in a sticker picker also seems less useful than silhouettes when searching for a known sticker on a slow network connection.
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I'm curious whether ThumbHash would address this sufficiently: https://github.com/evanw/thumbhash
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@cvwright thanks for bringing that up, not heard of it before and the comparison looks good visually - https://evanw.github.io/thumbhash/
Only has few implementations currently though
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I still think the "rough path outline" solution might be more visually appealing for stickers? Observe how Telegram employs it while stickers are loading in the picker. I think this would be much more appealing than blurry thumbnails:
We shouldn't discount using ThumbHash elsewhere though (see the other discussion on it #2448 (comment)).
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hmm: why is this on the top level but the room avatar isn't? should we just move the room avatar one up a level and call it good?
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The justification for it is that
m.room.avatar
currently contains aninfo
field (which the spec defines as typeImageInfo
, which is similar to theinfo
field of them.image
msgtype
for anm.room.message
event.The inconsistency is indeed a bit awkward. If we move
blurhash
to the top-level of them.room.avatar
event type, then we're inconsistent with them.image
msgtype. We could go the other way and put aninfo
(image_info
?) field in them.room.member
event type, but that feels out of place for an event type whose primary purpose isn't media-related.I'm curious what others think the best way forward is.
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Discuss the alternative algorithm (and self-proclaimed improvement over BlurHash) ThumbHash.
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The alpha support is nice.
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A comparison of ThumbHash vs. BlurHash.
Pros
Alpha support
ThumbHash handles images with transparent backgrounds in a much nicer fashion than BlurHash. While the obvious use case for this is stickers, as mentioned elsewhere, I think that vector outlines would be the best way to represent stickers before they are downloaded in full resolution.
Still, being able to somewhat make out what an image with a transparent background is before it has loaded is valuable.
Better quality
ThumbHash appears to generally create a better representation of the image than BlurHash (examples taken from https://evanw.github.io/thumbhash/):
Cons
Limited Library Support
BlurHash was one of the first to widely publicise this use case, and thus it is a lot more popular than ThumbHash. Compare the number of implementations for ThumbHash versus BlurHash.
Still, the algorithm is so simple that you could presumably translate it into your chosen language in about 30m.
BlurHash is already widely used in Matrix
Again, due to BlurHash coming out much earlier than ThumbHash, Matrix clients have already implemented BlurHash (through this MSC) widely. If we switch, clients with concern for backwards-compatibility will likely need to implement both BlurHash and ThumbHash.
However, currently BlurHash mostly applies to media sent in the timeline, which quickly becomes stale. Element Web only supports
m.image
events in the timeline. Nheko's BlurHash support extends to both stickers and map previews on location events. I'd be most concerned about room/user avatars, which rarely change. But I've not yet seen clients implement support for that yet.The more pressing concern would be interacting with older clients that still only send BlurHashes instead of ThumbHashes. However the failure mode here during the transition period wouldn't be too bad - you just won't see blurred thumbnails.
Bandwidth
TODO: I'd like to conduct a test of both algorithms over a range of, say, 100 images. Using base83 encoding for both. Currently I'm not sure whether BlurHash or ThumbHash generally produces smaller encoding sizes.
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ThumbHash is also around 10x faster to generate, at least on iOS. I can run a little experiment and report the results if there's interest.
The Circles client is no longer generating BlurHashes. We will continue to display them but we are moving entirely to ThumbHash for the future. The slow performance was a big part of this, but also ThumbHash just seems to work better all around. For example, we were having issues on Android where the BlurHash code crashed the app on an invalid input.
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As the person who implemented Blurhash based on this MSC in Element Web I'm all for switching to something which supports alpha and has better performance, maintaining blurhash rendering similar to how @cvwright described another client handling it for some time is acceptable.
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Thumbhash shouldn't be significantly faster. What you are probably seeing is that most of the thumbhash libraries downscale images to 32x32 pixels before generating the hash, while blurhash libs expect the library user to do that. If you do such an experiment, make sure you take that into account.
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No, I downsample the source image once to 100x100. Then from that 100x100 I create the ThumbHash and the BlurHash.
Maybe the Swift ThumbHash implementation is just more optimized than the BlurHash version? The author went to some pretty great lengths to make it fast.
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It doesn't look particularly optimized, but neither was the blurhash implementation, I guess. But feel free to bench it. Seems like I was also wrong, the hashing doesn't downscale first, but rendering the blurhash does create a 32x32 pixels image at best, which would be 10x faster than creating a 100x100 pixels image. So would be interesting to see comparisons, especially if you include my lib: https://github.com/Nheko-Reborn/blurhash :)
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@cvwright If you are doing a benchmark, reporting on the resulting filesizes of the hashes would be appreciated!
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@anoadragon453 if this is to progress we probably need to update the MSC to define the field for the thumbhash to live. The lack of alpha channel in blurhash makes it insufficient in my opinion.
I have a PoC impl for EW which sends & renders both blurhash & thumbhash, preferring the latter for rendering when available.
Blurhash
Thumbhash
Original
PoC:
content["xyz.amorgan.thumbhash"]
base64 encoded matrix-org/matrix-react-sdk#12164