Abstract: Managing content assets, such as images, video, and audio to facilitate filtering, searching, licensing, and editing associated attributes. Content assets are associated with multiple attributes, including licensing models, predefined value tiers, collections, and albums. Value tiers define varying ranges of price, resolution, or other qualities. Collections comprise groups of content assets within families, each specified by a license model and a value tier. Albums comprise groups of content assets that share a common topic, and albums have a predefined duration. An interface enables a user to filter by selecting any combination of the attributes, and to search the filtered content assets by keywords. Collection states and asset states determine which content assets are accessible for filtering and searching.

Abstract: Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.

Abstract: Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.