Abstract: Techniques for recommending music and advertising to enhance a user's experience while photo browsing are described. In some instances, songs and ads are ranked for relevance to at least one photo from a photo album. The songs, ads and photo(s) from the photo album are then mapped to a style and mood ontology to obtain vector-based representations. The vector-based representations can include real valued terms, each term associated with a human condition defined by the ontology. A re-ranking process generates a relevancy term for each song and each ad indicating relevancy to the photo album. The relevancy terms can be calculated by summing weighted terms from the ranking and the mapping. Recommended music and ads may then be provided to a user, as the user browses a series of photos obtained from the photo album. The ads may be seamlessly embedded into the music in a nonintrusive manner.

Abstract: Video advertising overlay technique embodiments are presented that generally detect a set of spatio-temporal nonintrusive positions within a series of consecutive video frames in shots of a digital video and then overlay contextually relevant ads on these positions. In one general embodiment, this is accomplished by decomposing the video into a series of shots, and then identifying a video advertisement for each of a selected set of the shots. The identified video advertisement is one that is determined to be the most relevant to the content of the shot. An overlay area is also identified in each of the shots, where the selected overlay area is the least intrusive among a plurality of prescribed areas to a viewer of the video. The video advertisements identified for the shots are then respectively scheduled to be overlaid in the identified overlay area of a shot, whenever the shot is played.

Abstract: Techniques for recommending music and advertising to enhance a user's experience while photo browsing are described. In some instances, songs and ads are ranked for relevance to at least one photo from a photo album. The songs, ads and photo(s) from the photo album are then mapped to a style and mood ontology to obtain vector-based representations. The vector-based representations can include real valued terms, each term associated with a human condition defined by the ontology. A re-ranking process generates a relevancy term for each song and each ad indicating relevancy to the photo album. The relevancy terms can be calculated by summing weighted terms from the ranking and the mapping. Recommended music and ads may then be provided to a user, as the user browses a series of photos obtained from the photo album. The ads may be seamlessly embedded into the music in a nonintrusive manner.

Abstract: Video advertising overlay technique embodiments are presented that generally detect a set of spatio-temporal nonintrusive positions within a series of consecutive video frames in shots of a digital video and then overlay contextually relevant ads on these positions. In one general embodiment, this is accomplished by decomposing the video into a series of shots, and then identifying a video advertisement for each of a selected set of the shots. The identified video advertisement is one that is determined to be the most relevant to the content of the shot. An overlay area is also identified in each of the shots, where the selected overlay area is the least intrusive among a plurality of prescribed areas to a viewer of the video. The video advertisements identified for the shots are then respectively scheduled to be overlaid in the identified overlay area of a shot, whenever the shot is played.