Abstract: The present disclosure discloses a cloud robot system, including: a cloud computing platform and at least one robot; wherein the cloud computing platform is used for receiving perform information sent by the at least one robot in the system; the perform information includes data, status and requests of the at least one robot; the cloud computing platform is used for processing the data and status, sending process results back to the at least one robot, and sending control instructions to corresponding robot according to the requests; the at least one robot is used for sending the perform information to the cloud computing platform, receiving process results from the cloud computing platform, and performing according to the control instructions sent from the cloud computing platform. By using the present disclosure, computing ability and storage capacity of the robots can be expanded unlimited, while the thinking ability and memory of the robots are improved.

Abstract: A multi-media slicing and transcoding method includes: slice the multi-media with a specified unit, to get multiple sections; obtain length of the vague area in section; elongate a redundant length to two opposite ends of each section, wherein the redundant length it equal to the length of the vague area; transcode the sections after elongating the redundant length; cut the elongating redundant length from two opposite ends of each section after transcoding; and piece the sections after cutting together. This invention still provides a multi-media slicing and transcoding system. The multi-media slicing and transcoding method and system eliminate boundary vague area after piecing, and ensure a better effect. Furthermore, this invention still provides a computing storage medium.

Abstract: The present disclosure discloses a cloud robot system, including: a cloud. computing platform and at least one robot; wherein the cloud computing platform is used for receiving perform information sent by the at least one robot in the system; the perform information includes data, status and requests of the at least one robot; the cloud computing platform is used for processing the data and status, sending process results back to the at least one robot, and sending control instructions to corresponding robot according to the requests; the at least one robot is used for sending the perform information to the cloud computing platform, receiving process results from the cloud computing platform, and performing according to the control instructions sent from the cloud computing platform. By using the present disclosure, computing ability and storage capacity of the robots can be expanded unlimited, while the thinking ability and memory of the robots are improved.

Abstract: A multi-media slicing and transcoding method includes: slice the multi-media with a specified unit, to get multiple sections; obtain length of the vague area in section; elongate a redundant length to two opposite ends of each section, wherein the redundant length it equal to the length of the vague area; transcode the sections after elongating the redundant length; cut the elongating redundant length from two opposite ends of each section after transcoding; and piece the sections after cutting together. This invention still provides a multi-media slicing and transcoding system. The multi-media slicing and transcoding method and system eliminate boundary vague area after piecing, and ensure a better effect. Furthermore, this invention still provides a computing storage medium.