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In the development of corporate materials, in addition to video uploading, you also need to use the first frame or perhaps several frames in the video as the video Cover display.
Therefore, the difficulty of intercepting the first frame of the video with JS was born. However, after checking the information, I found that there are only two types of information available on the Internet. The first one iswasm ffmpegCooperate with the backend to intercept, the second is to intercept by JS yourself. The advantages and disadvantages are also obvious. The first one has a relatively high cost of cooperation and is not very flexible. The second one can be used under normal conditions, but there will be compatibility issues (see you later in IE) and black screen interception issues.
The advantages and disadvantages of this method are also obvious. The cooperation cost is relatively high, and it will cause a sharp increase in web memory. However, the number of captured frames for the supported video types is Very flexible; since it involves the server, you can refer to wasm ffmpeg to capture videos.
If you want to intercept the front-end here, you need to understand the compatibility and response events of thevideo and canvastags. And it may not be so friendly to IE.
Execution results
According to the sequence, the first thing to be triggered turned out to be thetimeupdateevent. According to assumptions, the first thing to be executed should beloadedmetadata, the metadata is loaded. Regarding this, there is no clear explanation on MDN, but you can reason about it:
WhencurrentTimeis updated, thetimeupdateevent
# will be triggered.
##Conclusion: Although it is triggered first, the video file has not been loaded yet, and the content of the canvas itself is intercepted. Note: The timeupdate event is triggered 4-66 times per second depending on the system used. Due to the high trigger frequency, too small unit (millisecond level), event response delay and other reasons, it cannot be completely and accurately controlled.
In fact, sometimes the first frame of the captured picture is not very consistent with expectations due to poor video quality or other factors. There will always be pure black pictures, transparent pictures, white pictures and other invalid pictures. Therefore, we need to identify the validity of the image. So, how to identify the effectiveness of images?
At this time, you need to know a new attribute:Uint8ClampedArray
Uint8ClampedArray (8-bit unsigned integer fixed array ) A typed array represents an array of 8-bit unsigned integers whose values are fixed in the range 0-255; if you specify a value outside the range [0,255], it will be replaced with 0 or 255; if you specify a non-integer, then it will be set to the nearest integer. (array) contents are initialized to 0. Once created, you can reference the elements of the array using object methods, or using standard array indexing syntax (that is, using square brackets).
If you are interested inUint8ClampedArray, you can further study Uint8ClampedArray asynchronously here.
Did you discover anything? Is 0~255 a common value? It is the hexadecimal value corresponding to the color. Okay, then, the next step is to implement what we have thought about and see if it is such a principle.
The code is implemented, so what about the results? Here I use white pictures, transparent pictures, and black pictures to compare. Is the result obtained consistent with what we imagined: First, let’s take a look at the transparent image:
As you can see, all the results in the array are 0;
White image:
Oops, all are 255, then black should be all 0, don’t worry, let’s take a look
Black picture:
There is an unexpected number, 238, which is a color value that is biased toward 255 white. Why is this? In fact, it is because The white and transparent colors are not excessive, but the black is excessive. This problem will occur when the canvas is drawn, but it can be ignored.
After knowing the color values of these three, the next judgment will be easier. Just add a condition.
Why are it 200 and 0? In fact, you can judge the reasonable range of these two values based on the actual situation. The corresponding color value of 200 is #c8c8c8, which is gray, and 0 is transparent color, so it is judged to be an invalid image here. As long as there is no value in the brr array, it means it is an invalid picture.
So what is the actual situation? Here is another actual comparison picture:
As you can see, there are values in brr, and there are a lot of them, so this is the actual picture Valid image.
JavaScript has finished capturing the first frame of the video. If you still want to optimize for invalid images, just use the default image display.
JavaScript intercepts the first frame of the video. The process is complicated and involves a large amount of data loops, which will cause a certain amount of memory growth, but it can indeed solve this problem. , and has been used in enterprise materials. A clever optimization method is used. Only if a value in the brr array is pushed, it will break directly, which can greatly optimize performance.If you have better solutions, please share them with us!
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