Kabushiki Kaisha Toshiba

Sogo Tsuboi

Kenta Cho

Masayuki Okamoto

Hideo Umeki

Naoki Iketani

Keisuke Nishimura

Tomohiro Yamasaki

Masanori Hattori

Akira Kumano

Nobuhiro Shimogori

Hideki Tsutsui

Koji Ueno

Chikao Tsuchiya

An action acquiring unit acquires action information corresponding to operation information from a first storage unit for a first user, and stores acquired action information in a third storage unit. A receiving unit receives, via a network, action information of a second user from an external device. A situation acquiring unit acquires, from a second storage, a communication situation corresponding to received action information. A writing unit writes the action information of the first user indicated by the communication situation to the third storage unit, additionally.

Method, device, and computer product for managing communication situation

An information processing apparatus is connected with at least one external apparatus via a network. An input image of a first user related to the information processing apparatus is accepted while displaying a plurality of target images on a display. The plurality of target images includes an image of a second user related to the external apparatus. A gaze of the first user is detected from the input image. A target image looked by the first user is recognized from the plurality of target images, based on the gaze. A first head model as a head model of the first user, and a first texture to be projected onto the first head model, are generated. A first ID to identify a subject of the target image, the first head model and the first texture, are transmitted to the external apparatus.

Information processing apparatus and network conference system

A speech receiving unit receives a user ID, a speech obtained at a terminal, and an utterance duration, from the terminal. A proximity determining unit calculates a correlation value expressing a correlation between speeches received from plural terminals, compares the correlation value with a first threshold value, and determines that the plural terminals that receive the speeches whose correlation value is calculated are close to each other, when the correlation value is larger than the first threshold value. A dialog detecting unit determines whether a relationship between the utterance durations received from the plural terminals that are determined to be close to each other within an arbitrarily target period during which a dialog is to be detected fits a rule. When the relationship is determined to fit the rule, the dialog detecting unit detects dialog information containing the target period and the user ID.

Dialog detecting apparatus, dialog detecting method, and computer program product

An apparatus includes unit acquiring comment information items related to video content, each of the comment information items including a comment, and a start time and an end time of the comment, unit dividing the comment into words by morpheme analysis for each of the comment information items, unit acquiring an estimated value of each of the words, the estimated value indicating a degree of importance used when the scenes are extracted, unit adding the acquired estimated value of each of the words for each of the words during a period of time ranging from the start time to the end time of the comment that contains a corresponding word to acquire estimated value distributions of the words, and unit extracting a start time and an end time of one scene and to be extracted from the video content, based on a shape of the estimated value distributions.

Scene information extraction method, and scene extraction method and apparatus

An information retrieval apparatus includes a display which displays document information, an input unit which adds additional information to the document information displayed the display, a first storage which stores mark symbol information specifying a particular symbol used for marking, a detector which detects an input from the input unit and decides whether or not the input additional information is identical to or similar to the mark symbol information stored in the first storage, a second storage which stores the mark symbol information and the additional information which is decided that it is similar to the mark symbol information by the detector, associating with the mark symbol information, and a retrieval unit which retrieves the mark symbol information and the additional information associated with the mark symbol information from the second storage, and a retrieval result by the retrieval unit is displayed on the display.

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Kanagawa, Japan

Sogo Tsuboi