WebVideo Collection Series 4 62
Chrystal Dueno
This webinar is the first of a two-part series and offers up-to-date information about the disability tax credit (DTC). The webinar discusses eligibility, how to apply, and how much you can claim when doing your taxes.
This webinar is the second of a two-part series and offers up-to-date information about child disability benefit, the Canada workers benefit disability supplement, the Canada caregiver credit, medical expenses, and the registered disability savings plan.
Are you a medical practitioner who supports patients or clients with disabilities? This webinar provides information on how to complete the revised disability tax credit, Form T2201, and new digital web form.
The webinar will provide an overview of the various benefits and credits, information on how to apply for them and continue getting your payments, and information on other topics such as the underground economy, scams, and CRA services.
Just married? It's important to let the Canada Revenue Agency know. These newlyweds do not waste any time in doing that. They want to ensure that they get the benefits and credits that are right for them.
If you've been living with your partner for over a year, you're now considered to be in a common-law relationship. It's important to tell the Canada Revenue Agency of the change and this video shows you how easily it can be done.
Some life changes are never easy and often couples forget that they have to update their marital status with the Canada Revenue Agency (CRA). This couple is going their separate ways, but they know that to get the right benefit and credit payments, they have to inform the CRA.
Are you a newcomer to Canada? This video shows newcomers how the Canadian tax system works and what Canada does with the taxes we pay. It also gives a quick overview of why a newcomer should file, where to get help when filing taxes, and the resources available so you can learn to prepare and file taxes yourself. Go to cra.gc.ca/newcomers to learn more.
Do you ever wonder how one of Canada's largest government departments works? Our core mandate is to administer tax and benefit programs, and to ensure compliance with Canada's tax laws. Learn about what we do here at the Canada Revenue Agency, and how we contribute the quality of life of Canadians.
This video provides you with a basic introduction to debt collection at the CRA such as how to work with the CRA if you can't pay and need to make a payment arrangement, and what may happen if you don't pay.
This video describes the Community Volunteer Income Tax Program and how it helps individuals who have modest income and a simple tax situation and who cannot prepare their income tax and benefit return.
With the Community Volunteer Income Tax Program (CVITP), you can make a difference in your community by hosting a tax preparation clinic. Want to lend a hand? Watch this video to learn more about the CVITP and find out what you could get out of it as a volunteer.
The main goal of the TREC Video Retrieval Evaluation (TRECVID) is to promote progress in content-based analysis of and retrieval fromdigital video via open, metrics-based evaluation. TRECVID is a laboratory-style evaluation that attempts to model real worldsituations or significant component tasks involved in such situations.
Up until 2010, TRECVID used test data from a small number of known professional sources - broadcast news organizations, TV programproducers, and surveillance systems - that imposed limits on program style, content, production qualities, language, etc. For example, from 2003 - 2006TRECVID supported experiments in automatic segmentation, indexing, and content-based retrieval of digital video using broadcast news inEnglish, Arabic, and Chinese. Also, between 2007 to 2009 TRECVID provided participants with cultural, news magazine, documentary, and education programming supplied by theNetherlands Institute for Sound and Vision. Tasks using this video included segmentation, search, feature extraction, and copydetection. Surveillance event detection was evaluated using airport surveillance video provided by the UK Home Office.
In 2010 TRECVID confronted known-item search and semantic indexing systems with a new set of Internet videos (referred to in what followsas IACC) characterized by a high degree of diversity in creator, content, style, production qualities, original collectiondevice/encoding, language, etc - as is common in much "Web video". The collection also has associated keywords and descriptions provided bythe video donor. The videos are available under CreativeCommons licenses from the Internet Archive. The only selection criteria imposed by TRECVID beyond theCreative Commons licensing is one of video duration - they are short (less than 6 min). In addition to the IACC data set, NIST begandeveloping an Internet multimedia test collection (HAVIC) with the Linguistic Data Consortiumand used it in growing amounts (up to 8000 h) in TRECVID 2010-2017 Multimedia Event Detection (MED) task. The airport surveillance video, introduced in TRECVID2009, has been reused each year up to 2017 within the Surveillance event detection (SED) task.
New in 2013 was video provided by the BBC. Programming from their long-running EastEndersseries was used in the instance search (INS) task. An additional 600 h of Internet Archive video available under Creative Commons licensing forresearch (IACC.2) was used for the semantic indexing task as planned from 2013 to 2015 with new test data each year. In addition, a new concept localization (LOC) taskwas introduced in 2013 up to 2016.
A new video activity detection (ActEV) task was introduced in 2018 as an extension to the SED task. Finally, in 2020 two new tasks were introduced: The video summarization (VSUM) using the BBC Eastenders datasetand the Disaster Scene Description and Indexing (DSDI) task to tackle recognizing and indexing visual concept features highly correlatedwith natural disaster airborne video footage from real world disaster events.
Starting in 2022, the new subset collection (V3C2) of vimeo videos was used by the ad-hoc video search task. In addition the adoptionof movie domain datasets (Creative Commons) as well as licensed (from KinoLorberEdu platform) was utilized to support the Movie Summarization (MSUM) as well as the Deep Video Understanding (DVU) tasks to tackle high-level semantic Understandingand linking (e.g. recognizing relationships, interactions, sentiments, etc).
Many resources created by NIST and the TRECVID community are available for continued research on past datasets independent of TRECVID. Seethe Datasets and Resources section of the TRECVID website for pointers.
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