Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for analyzing a log file. The method may include: determining, based on a plurality of reference patterns, corresponding patterns for a plurality of log records in the log file. The method may further include: respectively determining the plurality of log records as a plurality of log identifiers corresponding to the corresponding patterns. The method further includes: determining, from the plurality of log identifiers, a log identifier to be analyzed corresponding to a predetermined event. In addition, the method may further include: selecting a target reference log identifier from a plurality of reference log identifiers corresponding to the plurality of reference patterns, wherein a first similarity between the target reference log identifier and the log identifier to be analyzed is higher than a first threshold similarity.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for analyzing a log file. The method may include: determining, based on a plurality of reference patterns, corresponding patterns for a plurality of log records in the log file. The method may further include: respectively determining the plurality of log records as a plurality of log identifiers corresponding to the corresponding patterns. The method further includes: determining, from the plurality of log identifiers, a log identifier to be analyzed corresponding to a predetermined event. In addition, the method may further include: selecting a target reference log identifier from a plurality of reference log identifiers corresponding to the plurality of reference patterns, wherein a first similarity between the target reference log identifier and the log identifier to be analyzed is higher than a first threshold similarity.

Abstract: A video system includes a sensitive-information generator to generate a definition of sensitive information parts (SIP) areas. The video system also includes a transcoder to transcode the SIP areas at a higher bit rate than non-SIP areas in the frames based on bandwidth available for transmitting the transcoded frames. The SIP areas are generated statically or dynamically. The video system adapts to various network conditions and utilizes the bandwidth efficiently to deliver the sensitive information of high quality and to enhance the user experience.

Abstract: A video system includes a sensitive-information generator to generate a definition of sensitive information parts (SIP) areas. The video system also includes a transcoder to transcode the SIP areas at a higher bit rate than non-SIP areas in the frames based on bandwidth available for transmitting the transcoded frames. The SIP areas are generated statically or dynamically. The video system adapts to various network conditions and utilizes the bandwidth efficiently to deliver the sensitive information of high quality and to enhance the user experience.

Abstract: A video system includes a sensitive-information generator to generate a definition of sensitive information parts (SIP) areas. The video system also includes a transcoder to transcode the SIP areas at a higher bit rate than non-SIP areas in the frames based on bandwidth available for transmitting the transcoded frames. The SIP areas are generated statically or dynamically. The video system adapts to various network conditions and utilizes the bandwidth efficiently to deliver the sensitive information of high quality and to enhance the user experience.

Abstract: A video system includes a sensitive-information generator to generate a definition of sensitive information parts (SIP) areas. The video system also includes a transcoder to transcode the SIP areas at a higher bit rate than non-SIP areas in the frames based on bandwidth available for transmitting the transcoded frames. The SIP areas are generated statically or dynamically. The video system adapts to various network conditions and utilizes the bandwidth efficiently to deliver the sensitive information of high quality and to enhance the user experience.