Abstract: Review videos on product pages are enhanced with user interface elements that cause playback of the review videos at points at which particular topics are discussed. A review video is processed by converting speech to text and timestamping the text. Topics are identified in the text, and a time in the review video corresponding to each topic is identified from the timestamps for the text. In some configurations, sentiment is also determined for each topic. User interface elements corresponding to each identified topic are presented with the review video on the product page. When a user viewing the product page selects a user interface element, the review video is played at a time corresponding to the topic of the selected user interface element.

Abstract: Automatic positioning of textual content within digital images is leveraged in a digital medium environment. Initially, user input is received to add textual content to a digital image. A salient portion and a non-salient portion of the digital image are identified. The salient portion of the digital image contains a salient object which corresponds to the most important or noticeable object in a digital image, as opposed to non-salient objects which correspond to less important background objects or portions of an image. A placement region for the textual content within the non-salient portion of the digital image is automatically determined, and the digital image is modified by positioning the textual content within the automatically determined placement region of the digital image. Positioning the textual content may include automatically adjusting the textual content to fit within the placement region, such as by automatically scaling or aligning the textual content.

Abstract: A computer readable medium for sizing a product includes instructions, that when executed by at least one processor, cause a computing device to: retrieve from a webpage information on a product including product dimensions; present on a display of a client device a graphical button that upon access by a user activates a camera for capturing an image of an object positioned at a focal distance from the camera, the object having a surface; prompt the user to enter boundary information of an imaginary housing to be placed on the surface; generate the imaginary housing dimensions in two dimensions (2D) based on the boundary information and the focal distance; and determine whether the product fits within the imaginary housing by comparing the product dimensions against the imaginary housing dimensions.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for determining a sub-set of user-submitted images that are similar to a curated image and presenting the sub-set of user-submitted images in connection with the curated image. The disclosed system presents a curated image depicting a product via a graphical user interface (e.g., on an e-commerce platform). In one or more embodiments, the disclosed system extracts feature vectors from the curated image and a plurality of user-submitted images. The disclosed system compares the feature vectors from the curated image and the plurality of user-submitted images to determine a sub-set of user-submitted images that are similar to the curated image. The disclosed system presents the sub-set of user-submitted images based on a user selection of the curated image.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate customized color editing options tailored to a digital image. In particular, in one or more embodiments, the disclosed systems generate an interactive editing user interface that includes selectable color controls corresponding to dominant colors extracted from the digital image and ordered by dominance. In at least one embodiment, the disclosed systems utilizes clustering techniques associated with the dominant representative colors to generate contour paths in the digital image further enabling dynamic interactive image editing.

Abstract: Automatic positioning of textual content within digital images is leveraged in a digital medium environment. Initially, user input is received to add textual content to a digital image. A salient portion and a non-salient portion of the digital image are identified. The salient portion of the digital image contains a salient object which corresponds to the most important or noticeable object in a digital image, as opposed to non-salient objects which correspond to less important background objects or portions of an image. A placement region for the textual content within the non-salient portion of the digital image is automatically determined, and the digital image is modified by positioning the textual content within the automatically determined placement region of the digital image. Positioning the textual content may include automatically adjusting the textual content to fit within the placement region, such as by automatically scaling or aligning the textual content.

Abstract: Generation of context-aware subtitles for a video is described. A subtitle context system receives video subtitles, extracts words from the subtitles, and determines a part of speech describing each word's use in the video. The subtitle context system then determines a difficulty score for each of the words based on the length of the word, a frequency with which the word is used in the language of the video, and a language proficiency score for a user viewing the video. To identify which words of the subtitles are likely difficult for the viewing user to understand, the subtitle context system compares the computed difficulty scores to a difficulty score threshold. For each word having a difficulty score that satisfies the threshold, a definition and one or more synonyms are ascertained. During video playback, the definition and synonyms for difficult to understand words are displayed concurrently with the word.