atentado de las torres gemelas

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Your video can also function as a user manual. When they see the product in action they connect with it, and are much more likely to order. Keep your business relevant to today’s audiences through video marketing. Get customers to submit any questions they have concerning your products or industry and answer them in video form. You can even reward people for asking good questions by offering them a free product or a discount. It’s vital that those people just beginning to use video marketing select high-quality titles. People need to get hooked. They’ll want to hear what you’re talking about if you pique their interest with the title. Therefore, it’s important that you spend some time thinking of creative, yet relevant, titles in order to succeed at video marketing. Don’t take your eye off the ball when you’re shooting your video. It is very easy to veer off topic. Good design doesn't necessarily mean high-end and fancy. Sometimes it's just a matter of making sure you meet human needs. See more home design pictures. Good design doesn't have to be froufrou. It can be simple and useful in its beauty, making use of natural elements. Often it's a matter of looking to things that are important to you apart from conventional ideas and to what the idea of home means to you and your family. Poor planning and small budgets can lead to design mistakes, but often flaws become apparent as newer and better ways of home planning and construction come into favor. If you find some of these problems in your home, take heart. You're not alone, and there are ways to resolve the situation. Carpenters and handymen have been around for thousands of years, and many do-it-yourself experts learned about home improvement while coming up with workable solutions for design flaws and getting hooked on the problem solving itself.|Modern video summarization methods are based on deep neural networks which require a large amount of annotated data for training. However, existing datasets for video summarization are small-scale, easily leading to over-fitting of the deep models. Considering that the annotation of large-scale datasets is time-consuming, we propose a multimodal self-supervised learning framework to obtain semantic representations of videos, which benefits the video summarization task. Specifically, we explore the semantic consistency between the visual information and text information of videos, for the self-supervised pretraining of a multimodal encoder on a newly-collected dataset of video-text pairs. Additionally, we introduce a progressive video summarization method, where the important content in a video is pinpointed progressively to generate better summaries. Finally, an objective evaluation framework is proposed to measure the quality of video summaries based on video classification. Extensive experiments have proved the effectiveness and superiority of our method in rank correlation coefficients, F-score, and the proposed objective evaluation compared to the state of the art.  dorian path

















































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