Abstract: Systems and techniques for employing perceptual characteristic similarity for item replacement in media content are presented. The system can include an identification component, a matching component and a replacement component. The identification component identifies at least a portion of an item in a media file. The matching component determines a replacement item from a set of candidate items based on a comparison between perceptual characteristics associated with the item and corresponding perceptual characteristics associated with the set of candidate items. The replacement component replaces the item in the media file with at least a portion of the replacement item.

Abstract: A content server stores video and audio, and other media containing songs. One or more seed songs associated with seed lyrics and a client device are obtained. A seed feature vector characterizing the seed lyrics is obtained. A song lyric corpus including candidate feature vectors characterizing candidate song lyrics of candidate songs is accessed. Song lyric features are stored in the song lyric corpus to facilitate identification of candidate lyrics most similar to the seed lyrics. The candidate feature vectors in the song lyric corpus may be reduced-dimension versions of high-dimensional feature vectors quantifying characteristics of the song lyrics. One of the candidate songs is selected according to a measure of similarity between the seed feature vector and one of the candidate feature vectors corresponding to the selected candidate song. A song recommendation including the selected candidate song is generated and provided to the client device associated with the song.

Abstract: Systems and techniques for employing perceptual characteristic similarity for item replacement in media content are presented. The system can include an identification component, a matching component and a replacement component. The identification component identifies at least a portion of an item in a media file. The matching component determines a replacement item from a set of candidate items based on a comparison between perceptual characteristics associated with the item and corresponding perceptual characteristics associated with the set of candidate items. The replacement component replaces the item in the media file with at least a portion of the replacement item.

Abstract: Systems and techniques for employing perceptual characteristic similarity for item replacement in media content are presented. The system can include an identification component, a matching component and a replacement component. The identification component identifies at least a portion of an item in a media file. The matching component determines a replacement item from a set of candidate items based on a comparison between perceptual characteristics associated with the item and corresponding perceptual characteristics associated with the set of candidate items. The replacement component replaces the item in the media file with at least a portion of the replacement item.