Arrow vision youtube

Arrow vision youtube DEFAULT

YouTube is a popular way to share videos online. Providing captions on videos makes them accessible to a wider audience, including Deaf and hearing impaired users. Captions also help to increase the search ranking of a video so that it is more easily discovered through search engines.  

To upload and add captions to videos on YouTube, you must first create a YouTube account. If you have a Gmail account, you can also use this account to sign into YouTube. Creating a YouTube account is free for all users and allows you to subscribe to channels, upload videos and share them with people on the web.

Adding and editing auto-captions to videos

The easiest way to caption a video that you have uploaded on YouTube is to use the auto-captions feature and then modify manually. It uses speech recognition software to generate captions from the videos you upload in over 12 different languages, yet due to the feature’s inaccuracy, it is essential to edit auto-captions after they have been created.

To create and edit auto-captions:

  1. Once you have created an account, signed in and uploaded a video to YouTube, click on the down arrow next to the 'Upload' button at the top of the screen and select 'Video Manager'.
  2. In Video Manager, select the down arrow next to the 'Edit' button of the video you would like to caption.
  3. Select 'Subtitles and CC' from this down arrow menu.
  4. On the right-hand side of your YouTube video, select the button under 'Active tracks'. This will be defaulted to 'English' however once you select this button, you can change the language under 'Language'.
  5. To the right of the video under 'Caption text', the auto-generated captions should be listed with their corresponding timecodes. Each line under 'Caption text' can be edited once a line is selected.
  6. Click on the line you wish to edit and adjust the captions to correct it.
  7. When you have finished editing the captions, click 'Done' on the bottom right corner to save the new version of the captions.

Using YouTube's DIY captioning software

You can also use YouTube's DIY captioning software to create captions from scratch. This advantage of using this feature over the auto-captioning option is that it allows you to split captions in a more logical way that will make them more readable, and time them with more precision.

To create and time captions:

  1. Log in to your YouTube account, go to ‘Video Manager’ and click the ‘Edit’ button next to the video you want to caption.
  2. Select the ‘Subtitles and CC’ tab at the top right of the screen. In the 'Add new subtitles or CC' drop-down menu, select the language. You can select English, or choose from 160 other languages.
  3. A box will now appear to the right of the media player which says ‘Type subtitles here’. Play the video, pausing it as necessary, and type your first caption into the box, then click on the ‘+’ sign to lock the caption in. It will then appear in a box below. Once you have created a caption, you can edit it by clicking on its box.
  4. As you create captions, they will appear on the screen as the video plays, while they will also appear in smaller boxes beneath the video player. When you click on one of these boxes, blue ‘handles’ will appear on either side of it. To time your captions so that they are synchronised with the dialogue, click on the handles and drag them to the left or right to adjust when each caption starts and finishes. You can do this as you create each caption, but it is probably easier to write the text for all the captions first, then play the video again and adjust the timing for all of them.
  5. Once you have completed your captions and are happy with them, click on the ‘Publish’ button. Everyone who watches your video will now be able to turn the captions on and off.

YouTube has created a video to take you through the process.

DIY captioning tools for creating captions

There are a number of tools which allow you to create captions from scratch which can then be added to YouTube videos. The list includes the free CADET (Caption and Description Editing Tool) that was launched in May 2017 by the not-for-profit National Center for Accessible Media (NCAM) in the USA. CADET is very easy to use and you can watch a YouTube video on how to create captions with CADET. Another DIY tool is Amara, which is an open-source, non-profit project of PCF, the Participatory Culture Foundation. And another option is dotSUB which has been around for quite a while and is quite straightforward to use.

Creating files with Amara

Here are the steps for using Amara, which supports YouTube, HTML5, Vimeo and other players. If you own the YouTube video, you can upload a caption file created on Amara to YouTube. If you don’t own the video, you can still use Amara to caption it, and when it’s completed anyone can watch the video with your captions on the Amara website.   

To create caption files using Amara:

  1. To begin captioning go to the Amara website and create an account. Note that Amara calls captions ‘subititles’.
  2. On the home page, click on ‘Subtitle a video’. Copy and paste the URL of the video you wish to caption, then click ‘Begin’.
  3. To commence captioning, click on ‘Add a new language’ on the left of the screen. You will be asked for the language of the video, and the language of the captions you wish to create. Then click ‘Continue’.
  4. There are three steps to creating captions in Amara: ‘Typing’, ‘Syncing’ and ‘Review and complete’. You will now be at the Typing step, with your video visible in a media player.
  5. Once you are ready to start captioning, play and pause the video as required and type the text for each caption in the box below the video.
  6. The three basic keyboard commands – ‘Play / Pause’, ‘Skip back’ and ‘Insert a line break’ are shown on three bars to the left of the video player. You can execute these commands pressing the key combinations, or by using your mouse to click on the bar itself. Pressing ‘shift’ + ‘tab’ will make the video skip back 2 seconds. Clicking on ‘more commands’ brings up a list of further options, including how to make the video skip back by 4 seconds.
  7. After you have typed each sentence (or as much of a sentence as will fit into one caption) press ‘Enter’, which will open up the box for the next caption.
  8. If you notice you have made a mistake in a previous caption, you can fix it by clicking on it, then typing the correct text.
  9. When you hover your cursor over a text box with a caption in it, a short tool menu (indicated by a spanner symbol) will appear, giving you the options to add a new caption above or below it, and to delete a caption.
  10. If you have a caption with two lines of text, try to split it so that the lines are of roughly even length. Press ‘shift’ + ‘Enter’ to create a line break, and try to place the break where there is a natural break in the sentence (e.g. where there is a comma).
  11. Don't worry too much about fixing up mistakes during the Typing step, as you can do that in the Syncing and Review steps. If you need to interrupt your captioning session, click ‘Save draft’ before exiting.
  12. When you have typed all the text of your video, click on ‘Start syncing’
  13. The ‘Syncing’ page looks much the same as the ‘Typing’ page, however there are now two additional tasks on the ‘Keyboard controls’: ‘Start subtitle’ and ‘End subtitle’. 
  14. When you are ready to start synchronising your captions, play the video. When the first caption needs to appear on screen, press the ‘down arrow’ button on your keyboard, creating a caption start point. When the next caption needs to appear, press the ‘down arrow’ again. This will create a start point for the second caption, as well as an end point for the first.
  15. You only need to press the ‘up arrow’ to create an end point for a caption if there is a gap between it and the next caption, or it is the last caption on the video.
  16. Continue until you have synced all the captions for the video. You may need to do this several times to get it right. (You can always start again from scratch by returning to the previous page without saving your work, then forward again to the syncing page.) But don’t worry about making all of the timings exact, as you will be able to fine-tune them in the Review step.
  17. When you’re finished, click on ‘Start review’ for the next step. Play your video once more. If you see any spelling mistakes, or missing dialogue or other audio, pause the video and click on the caption to fix it.
  18. In addition to the captions being superimposed on the video, below the video player you will see them running along a grey line that scrolls continuously as the video plays. A vertical red line runs through the centre of this, indicating how the captions are synced in relation to the video. Each caption occupies a separate box, with a tab on either side.
  19. You can change the syncing of a caption by clicking on these tabs, then dragging the edges of the box to the left or right. (Note, you can move the caption line rapidly back and forth by placing your cursor on the row of numbers above it and moving it to the left or right.) You will also need to use this function if there are gaps in the dialogue of your video and you need to create gaps between the captions.
  20. To create a gap between two captions, pause the video at the point where the first caption should end. Click on the arrows to the right of this caption’s box, and drag it to the red line. As you do so, a gap will open between this caption and the following one.
  21. Once you are satisfied that all your captions are correct, you can publish your captions. Before doing this, you may want to click on ‘Edit title and description’. If your video is being hosted in a file sharing service such as YouTube, the information on it will have been automatically imported from there to Amara.
  22. Once the title and description are correct, click on ‘Publish’. The caption file will be integrated with the video, and can now be watched by anyone on the Amara website.

Uploading a caption file or transcript to videos

If you have a caption file ready, you can upload it to your YouTube video through Video Manager. YouTube supportsthe SubViewer (.SUB) and SubRip (.SRT) caption file formats. You can also upload a transcript which will be automatically converted to a caption file, and timed using speech recognition software. The transcript needs to be accurate, and in text file format.

  1. In Video Manager, select the down arrow next to the video you want to caption. Click 'Captions'.
  2. On the right hand side, select 'Upload caption file or transcript'. This will activate a pop-up screen.
  3. In the pop up screen, select the folder/s where the caption file or transcript is saved. Select the file.
  4. Click 'Open'.
  5. Select 'transcript' or 'caption file'. 
  6. Select the appropriate language and enter a track name.
  7. Select 'Upload'.

See also:


Top of page
Sours: https://mediaaccess.org.au/web/how-to-caption-a-youtube-video

Seeing the Arrow of Time

Abstract: We explore whether we can observe Time's Arrow in a temporal sequence - is it possible to tell whether a video is running forwards or backwards? We investigate this somewhat philosophical question using computer vision and machine learning techniques. We explore three methods by which we might detect Time's Arrow in video sequences, based on distinct ways in which motion in video sequences might be asymmetric in time. We demonstrate good video forwards/backwards classification results on a selection of YouTube video clips, and on natively-captured sequences (with no temporally-dependent video compression), and examine what motions the models have learned that help discriminate forwards from backwards time.

Published in: 2014 IEEE Conference on Computer Vision and Pattern Recognition

Article #:

Date of Conference: 23-28 June 2014

Date Added to IEEE Xplore: 25 September 2014

ISBN Information:

Electronic ISBN: 978-1-4799-5118-5

ISSN Information:

Electronic ISSN: 1063-6919

Print ISSN: 1063-6919

Sours: /document/
  1. Weather laguna beach
  2. Fancy sprinkles founder
  3. Postman integrations
  4. Mercury 15 hp outboard parts
  5. Tori roloff photography

Seeing the Arrow of Time

Lyndsey C. Pickup, Zheng Pan, Donglai Wei, Yichang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Schölkopf and William T. Freeman



Overview

We explore whether we can observe Time's Arrow in a temporal sequence -- is it possible to tell whether a video is running forwards or backwards?

We developed three methods based on machine learning and image statistics, and evaluated these methods on a video dataset collected by us from YouTube.

Video Dataset

We collected 180 high-quality videos, and selected a 6-10 second clip from each. The dataset contains 155 forward sequences and 25 intentionally backward sequences (ie the play direction of the video goes backwards in time). The full dataset can be downloaded from the Arrow project data page.

Early frame from vid 34
Middle frame from vid 34
Late frame from vid 34

Early frame from vid 74
Middle frame from vid 74
Late frame from vid 74

Top and bottom rows: frames from two sequences from our dataset of 180

Method #1: Flow words

Videos are described by SIFT-like ''Flow-Words'', based on optical flow instead of image edges. We learn a dictionary of 4000 different Flow-Words from the YouTube data, then use a bag-of-words approach to training and testing using a balanced versions of the YouTube dataset (where all videos appear forward and backward in time). This method is our most successful, achiving 75%-90% classification accuracy in three-fold cross validation. Chance would be 50% accuracy.

Figure to help visualise the method by which Flow-Words are calculated.

Construction of the Flow-Words features. Top: pair of frames at times t-1 and t+1, warped into the coordinate frame of the intervening image. Left: vertical component of optic flow between this pair of frames; lower copy shows the same with the small SIFT-like descriptor grids overlaid. Right: expanded view of the SIFT-like descriptors shown left. Not shown: horizontal components of optic flow which are also required in constructing the descriptors.

Method #2: Motion causality

This method exploits the fact that it it smore common for one motion to cause several others than it is for several motions to combine into one smooth motion. For instance, one ball hitting a stack of stationary balls will probably cause several of the stationary ones to roll off in different directions. Using a method based on this cue, we achieve a classification accuracy of around 70% on the YouTube dataset.

Figure to help visualise the Causality method.

Three frames from one of the Tennis-ball dataset sequences, in which a ball is rolled into a stack of static balls. Bottom row: regions of motion, identified using only the frames at t and t-1. Notice that the two rolling balls are identified as separate regions of motion, and coloured separately in the bottom rightmost plot. The fact that one rolling ball (first frame) causes two balls to end up rolling (last frame) is what the motion-causation method aims to detect and use.

Method #3: Auto-regressive model

If object motion is linear, then the current velocity of the object should be affected only by the past. Noise on this motion will be asymmetric in the forward and backward directions, and fitting an auto-regressive model to the linear motion ought to yeild independence between the noise and signal only in the forwards-time direction. This method attempts to find the forward direction by looking at the independence of AR fitting error on motion trajectories.

Figure to help visualise the AR method

Top: tracked points from a sequence, and an example track. Bottom: Forward-time (left) and backward-time (right) vertical trajectory components, and the corresponding model residuals. Trajectories should be independent from model residuals (noise) in the forward-time direction only. For the example track shown, p-values for the forward and backward directions are 0.52 and 0.016 respectively, indicating that forwards time is more likely.

Publication


L. C. Pickup, Z. Pan, D. Wei, Y. Shih, C. Zhang, A. Zisserman, B. Schölkopf and W. T. Freeman

Seeing the Arrow of Time  

IEEE Conference on Computer Vision and Pattern Recognition, 2014


Acknowledgements

Funding was provided in the UK by the EPSRC, ERC grant VisRec no. 228180, in China by 973 Program (2013CB329503), NSFC Grant no. 91120301, and in the US by ONR MURI grant N00014-09-1-1051 and NSF CGV-1111415.

ERC logo

Sours: https://www.robots.ox.ac.uk/~vgg/research/arrow/
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Vision youtube arrow

Broken Arrow Friends and Family - 

 

The Broken Arrow Skyrace operations team is in recovery mode today (figuratively speaking...we are still moving things to storage). On behalf of our entire team, we would like to take this is opportunity to extend a heartfelt “thank you” to everyone who helped make this year’s event such a fantastic success …. despite the odds of a global pandemic and unprecedented wildfires. For our operations team, the first few days after the race are a wonderful mix of pure exhaustion and sheer elation. The outpouring of love and gratitude from YOU, our community, fills us with the most joy we've ever experienced. 

In six short years, Broken Arrow has become a big event. When we were first designing the event in 2015, we created some lofty goals, many of which we feel have been attained. However, with size and complexity comes the risk of losing our highly valued personal touch. We have always sought to create a community and experience around Broken Arrow, and we consider each and every participant, volunteer, spectator (in person and online), and sponsor to be a valued member of our Broken Arrow Skyrace family. This past weekend felt like pure magic on so many levels and we're so grateful to EVERYONE who joined us for the ride. We think we kept it real! 

To our volunteers ... we always start with the volunteers ... without you, we simply could not put on this race. Full stop. You were generous with your time and, as always, did a fantastic job taking care of our runners. The outpouring of gratitude from our runners for how you treated them has been overwhelming. We ask each volunteer to treat every runner as if they were family ... and it is obvious all of our volunteers did just that.  

 

To our runners...we are profoundly grateful for – and, indeed, overwhelmed by – your support, enthusiasm, and love over the past six years (five editions) of the race. Putting on the Broken Arrow Skyrace is a labor of love for us and we are truly humbled by the way our trail running community has embraced this event. Perhaps most special is how such a diverse group of people from all across the world can come together to celebrate the gift that is running. THANK YOU!

Scott Rokis and his photography team managed to capture the energy, suffering and finish line celebrations in an absolutely stunning manner. If you are interested in purchasing photos of a family member, friend or of yourself .... please head HERE to see the magic! 

But the honest truth is that we just set the table ...YOU bring the stoke! Watching you #RingDasBell this weekend reminded us of why we do this. 

While we are at it, we’d also like to extend a HUGE thank you to your spouses, children, parents, friends, and co-workers, many of whom come up to cheer you on this weekend. They have had to hear you prattle on about Broken Arrow for months, and have had to put up with your long weekend runs and being woken up at the crack of dawn as you snuck out on training runs (pro-tip: a thank-you dinner at your spouse’s favorite restaurant might not be out of line).  

To our sponsors...you stuck with us. Your flexibility allowed us to roll over entries last year when other races were unable to offer refunds. We won’t forget that. You have come to understand that we are trying to create something unique and different in the trail space and you have embraced that vision. And, of course, without you, we would not be able to offer the very finest swag bags of any race in the United States.

To our friends at Palisades Tahoe...thank you for letting us traverse your beautiful mountain. This venue is truly “where the mountains meet the sky” and we are grateful to be able to call this our playground ... even if only for one weekend a year. 

We also wish to thank Scott Rokis and his amazing broadcast team, including Dylan Bowman, Corrine Malcolm, Jorge Maravilla, and Courtney Dauwalter – not to mention those camera operators who put in some serious miles at some insane paces – who helped us bring the race to a global audience to more than 17,000 viewers (and climbing) from around the world in the last 24 hours! What they pulled off was nothing short of miraculous and in our eyes they truly raised the bar for race coverage!

Please mark your calendars for June 17-19, 2022, where we will once again celebrate the trails and this awesome community at Palisades Tahoe. Registration opens at 9am PST on Monday, December 6, 2021 HERE! If you were a 2020 runner who was rolled over and couldn't make the October dates, please know that you will be automatically enrolled in the event!

Thanks again - we are humbled and honored by your participation at the Broken Arrow Skyrace, presented by Salomon. 


Your grateful race directors, 


Brendan Madigan / Ethan Veneklasen / Geoff Quine

Sours: https://www.brokenarrowskyrace.com/
13. The Assyrians - Empire of Iron

Everything you wished to know about ARROW MOBILE ANDROID, walk by / drive by solution for the Utility Market, its start up, assembling and reading mode.

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The Arrow Mobile Android reader kit is designed to receive and decode messages transmitted by Maddalena radios using the 169 / 868 MHz wMBus protocol.
The kit includes: Android table with Arrow Mobile Android app, Maddalena USB radio transceiver, RF 169 / 868 antenna with SMA connector. The system works differently depending on the radios you are using it with.

Arrow Mobile Android can scan both wMbus 868 and 169 radios. They have different scan modes: once a scan has been launched, all other options are excluded and the display automatically switches to map display mode.

Our new video tutorials will guide you step by step through the installation, activation and programming of  the rich Maddalena range.

Video footage and animations are accompanied by captions in two languages (Italian and English) to provide effective and detailed information.

For over 100 years, Maddalena has remained a point of reference for water metering. We are at the side of our customers to provide innovative and up-to-date tools, and meet all your requirements.

 

ARROW MOBILE ANDROID 

Sours: https://www.maddalena.it/blog/en/it-video-tutorial-maddalena-4-arrow-mobile-android-sul-canale-youtube/

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