Abstract: Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Abstract: Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Abstract: Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Abstract: Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Abstract: A system and method for generating activity summaries for users. User activity information is received by a user activity information receiver module. Once enough data is received and processed, the data is analyzes and segmented to determine and create an activity summary or story. Content is selected. The selection of the content includes selection of content items, such as multimedia items, e.g. pictures and videos. Secondary information, such as user activity information or location information is analyzed. A story is generated based on the selected content, including the selected content. The story is represented by a display of the selected media and other information associated with the media.

Abstract: Contemplated plants include an acid gas enrichment unit in which acid gas unsuitable for feeding into a Claus plant from an upstream acid gas removal unit is separated into a concentrated hydrogen sulfide stream that is fed to the Claus plant and a carbon dioxide stream that is compressed in a compressor before sequestration, further purification, and/or recycling to a gasification unit.

Abstract: Contemplated plants include an acid gas enrichment unit in which acid gas unsuitable for feeding into a Claus plant from an upstream acid gas removal unit is separated into a concentrated hydrogen sulfide stream that is fed to the Claus plant and a carbon dioxide stream that is compressed in a compressor before sequestration, further purification, and/or recycling to a gasification unit.