Abstract: Techniques for video usage within a frame widget retail environment are disclosed. A library of short-form videos is accessed. A website is evaluated for products represented within an online retail environment. One or more products are identified from the webpage that was evaluated. At least one short-form video is chosen from the library to be included in the webpage. The choosing of the at least one video is based on the identified product. A frame widget is inserted into the webpage. The placement of the frame widget is determined by the evaluation of the webpage. The frame widget is populated with at least one video that was chosen along with other videos. The video that was chosen is rendered in the frame widget. The rendering is accomplished by a user action.

Abstract: Techniques for manipulating video livestream background images are disclosed. A short-form video, such as a livestream video or livestream replay video, can be analyzed for context. Computer-implemented techniques may be used for performing entity detection, and can also detect a change in subject based on speech and/or actions of a host individual. The subject can include a particular product. The detecting a change in subject can include detecting a foreground object and identifying the foreground object as a product. The identification of the foreground object as a product can include performing optical character recognition on text imprinted on a foreground object. The identification of the foreground object as a product can include image recognition techniques. The identification of the foreground object as a product can include scanning of an optical code such as a barcode that is imprinted on the product.

Abstract: A computer-implemented method for video analysis is disclosed. A livestream, including a livestream chat, is accessed. The livestream includes products for sale. The livestream includes timestamps based on when each product is highlighted. The timestamps allow users to jump to livestream locations based on the highlighted products. The livestream is monitored by a large language model. The large language model (LLM) detects a question from users in the livestream, and the LLM determines answers to the question. An engagement metric is calculated for each answer. The engagement metric is predictive of future engagement in the livestream by users if the answer is posted. A human assistant in the livestream reviews the LLM answer with the highest engagement score and chooses to edit the answer, to post the answer, or not to post the answer to the livestream.

Abstract: Disclosed embodiments provide techniques for immediate livestreams in a short-form video ecommerce environment. A website that includes a plurality of products for sale is accessed. The website is viewed by a plurality of users. One or more groups of users is identified. Each of the one or more groups includes users with an interest in one or more products from the plurality of products for sale. An immediate livestream is created for each group of the one or more groups of users when a number of users within each group is higher than a threshold value. The immediate livestream includes the one or more products. The immediate livestream is rendered within the container unit on the website to each group of the one or more groups of users. An ecommerce purchase of the one or more products is enabled within the immediate livestream.

Abstract: Disclosed embodiments provide techniques for connected television livestream-to-mobile device handoff in an ecommerce environment. A livestream or livestream replay is accessed on a device for connected television (CTV) that facilitates delivery of streaming video content to a user. A quick response (QR) code is revealed on the CTV device. A user scans the QR code with a camera located on a mobile device, and the QR code redirects the mobile device to a website. The website enables participation in a livestream using the mobile device. Products for sale can be highlighted by a livestream host during the livestream. The products for sale can be identified and an ecommerce purchase of the products for sale can be enabled. Promotions related to the products for sale can be displayed to the user on the CTV and mobile device during the ecommerce purchase process.

Abstract: Techniques for a multi-hosted livestream in an open web ecommerce environment are disclosed. A livestream event that includes a first host and a plurality of viewers is initiated on a website. A product for sale is included in the livestream event that is displayed in a livestream window. A second host is added to the livestream event. The first host and second host appear simultaneously in the livestream event. A product card representing the at least one product for sale is pinned in the livestream window by one of the plurality of hosts. Purchase details of the at least one product for sale are revealed, based on a first action with the product card by a viewer. The revealing is rendered to the viewer. An ecommerce purchase of the product by the viewer is enabled. The ecommerce purchase is accomplished within the livestream window.

Abstract: Disclosed embodiments provide techniques for dynamic population of contextually relevant videos in an ecommerce environment. A library of short-form videos is accessed from a server, and one or more short-form videos within the library is associated with a product for sale. In cases where a user searches for a product for sale on a website, a short-form video request is received. One or more short-form videos are selected from the library based on the product associations. In some instances, the video selection is optimized based on metadata, a bid from an advertiser, or machine learning. A container unit is inserted into the website and is dynamically populated with the short-form videos. A microsite is generated, enabling an ecommerce purchase. The microsite can use a product card or display a virtual purchase cart while the video plays.

Abstract: Techniques for object highlighting in an ecommerce short-form video are disclosed. The object highlighting can be associated with a product within the video, defining a highlighted product. The object highlighting can be performed automatically utilizing computer-implemented techniques. A short-form video from a library of short-form videos is accessed. A plurality of objects from a catalog of products featured in the short-form video is recognized. At least one of the plurality of objects displayed by a host is identified. A first object from the plurality of objects is selected. The first object is highlighted, which causes it to be surrounded by a boundary overlay in the short-form video. A representation of the first object is dynamically inserted into an on-screen product card. An ecommerce purchase of the first object is enabled within the short-form video.

Abstract: Techniques for manipulating video livestream background images are disclosed. A short-form video, such as a livestream video or livestream replay video, can be analyzed for context. Computer-implemented techniques may be used for performing entity detection, and can also detect a change in subject based on speech and/or actions of a host individual. The subject can include a particular product. The detecting a change in subject can include detecting a foreground object and identifying the foreground object as a product. The identification of the foreground object as a product can include performing optical character recognition on text imprinted on a foreground object. The identification of the foreground object as a product can include image recognition techniques. The identification of the foreground object as a product can include scanning of an optical code such as a barcode that is imprinted on the product.

Abstract: Techniques for video usage within a frame widget retail environment are disclosed. A library of short-form videos is accessed. A website is evaluated for products represented within an online retail environment. One or more products are identified from the webpage that was evaluated. At least one short-form video is chosen from the library to be included in the webpage. The choosing of the at least one video is based on the identified product. A frame widget is inserted into the webpage. The placement of the frame widget is determined by the evaluation of the webpage. The frame widget is populated with at least one video that was chosen along with other videos. The video that was chosen is rendered in the frame widget. The rendering is accomplished by a user action.

Abstract: Techniques for tokenizing a manipulated short-form video are disclosed. A short-form video is obtained from a short-form environment that includes a short-form video server. The short-form video includes news, weather, traffic information, music, sports highlights, vlog entries, product information, how-to videos, livestream replays, and/or other content. Highlight segments within short-form videos are identified, and a new video is created, based on one or more identified highlight segments. The new video may also be a short-form video. The highlight segments may be from the original short-form video, or may come from a variety of other sources. The new video is used to enhance entertainment value. The new video is tokenized. The tokenization can be used to support ownership identification. The tokenization can be used to create a non-fungible token.