A social entertainment user interface operating on a wireless networked record session device capable of producing a live video and/or audio stream as if made in a vintage record booth. Record sessions are listened to and/or watched by a plurality of other social entertainment user interfaces operating on other networked listening/watching wireless networked devices. Video and audio filters emulate various altered looks and sounds. Record sessions are streamed live or near-live for other social entertainment user interfaces operating on other networked wireless devices to listen and/or watch, and passively and actively rated to dynamically enable watching of the most preferred record sessions.

Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.

Embodiments include a modular video recording system. The system includes a first module for supporting a primary input to be recorded. The system may include combinations of modules for supporting different combinations of recording inputs from video and audio sources for recording the received inputs in different combinations.

The present application discloses a method and device for processing multimedia information, an electronic equipment, and a computer-readable storage medium. The method for processing multimedia information includes: detecting whether multimedia configuration parameters have changed during a process of recording multimedia information; and recording the multimedia information based on the changed multimedia configuration parameters when detecting that the multimedia configuration parameters have changed. According to the embodiments of the present application, multimedia configuration parameters of the special effects such as stickers, make-up, filters, and mixing can be added during the recording of multimedia information, which improves the user experience.

Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.

A playback method of reading out and playing streams from a recording medium is provided in which are recorded a stream file, a playlist file, first and second combination information, elementary streams that can be played at the same time with the first luminance video, and elementary streams that can be played at the same time with the second luminance video. The playback method includes in a case of playing the first luminance video, reading out any one of the elementary streams listed in the first combination information of the playlist file, and playing at the same time with the first luminance video, and in a case of playing the second luminance video, reading out any one of the elementary streams listed in the second combination information of the playlist file, and playing at the same time with the second luminance video.

A playback method of reading out and playing streams from a recording medium is provided in which are recorded a stream file, a playlist file, first and second combination information, elementary streams that can be played at the same time with the first luminance video, and elementary streams that can be played at the same time with the second luminance video. The playback method includes in a case of playing the first luminance video, reading out any one of the elementary streams listed in the first combination information of the playlist file, and playing at the same time with the first luminance video, and in a case of playing the second luminance video, reading out any one of the elementary streams listed in the second combination information of the playlist file, and playing at the same time with the second luminance video.

A novel system and method to implement a modified Learn-by-Teaching (LdL) method within a video-graphic context. The system and method include a narration step that is structured to cause the student or Group completing a Video Project to simultaneously engage different parts of the brain so as to work in concert to reinforce the proficiency skill being taught. During the narration step, the student must view a silent video while composing a textual script to serve as a voice-over narration. The student must then practice audibly reciting the script. The student is positively challenged during the narration step in two ways: achieve synchronicity with video, and to teaching an inanimate object in the form of an abstract audience of unknown scope. The combination of multi-modal actions and challenges facilitates implementation of a LdL method in a new and powerful way.

A wireless record booth capable of producing a live video and/or audio stream as if made in a vintage record booth. A concatenated video stream is formed by a record booth sessions recorded in each of a plurality of networked listening/watching record booths. Video and audio filters emulate vintage record booth images and sounds. Record booth sessions are streamed live for other networked record booths to listen and/or watch, and passively and actively rated to dynamically create a concatenated video stream of the most preferred record booth sessions.

Systems and methods are disclosed herein for detecting dubbed speech in a media asset and receiving metadata corresponding to the media asset. The systems and methods may determine a plurality of scenes in the media asset based on the metadata, retrieve a portion of the dubbed speech corresponding to the first scene, and process the retrieved portion of the dubbed speech corresponding to the first scene to identify a speech characteristic of a character featured in the first scene. Further, the systems and methods may determine whether the speech characteristic of the character featured in the first scene matches the context of the first scene, and if the match fails, perform a function to adjust the portion of the dubbed speech so that the speech characteristic of the character featured in the first scene matches the context of the first scene.