Network-extensible reconfigurable media appliance

• US 20070150917A1
• Filed: 10/23/2006
• Published: 06/28/2007
• Est. Priority Date: 05/28/2003
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Dennis Fernandez
• Inventors: Fernandez, Dennis
• Granted Patent: US 7,784,077 B2
• Time in Patent Office: Days
• US Class Current: 725/10
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/74 Browsing; Visualisation therefor end-user interfaces for requesting or interacting with video content, e.g. video on demand interfaces or electronic program guides, H04N21/472
• CPC Class Codes: G06F 3/048 Interaction techniques based on graphical user interfaces [GUI]
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: H04N 21/4223 Cameras H04N23/00 takes precedence
• CPC Class Codes: H04N 21/43615 Interfacing a Home Network, e.g. for connecting the client to a plurality of peripherals home Audio Video Interoperability [HAVI] data switching networks H04L12/2805
• CPC Class Codes: H04N 21/64784 Data processing by the network data processing in packet switching systems H04L12/56; flow control in packet networks H04L47/10; intermediate storage or scheduling H04L49/90; provisioning of proxy services in data packet switching networks H04L67/56
• CPC Class Codes: H04N 23/617 Upgrading or updating of programs or applications for camera control
• CPC Class Codes: H04N 5/262 Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
• CPC Class Codes: H04N 5/2621 Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability
• CPC Class Codes: Y10S 707/913 Multimedia
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Extensible reconfigurable media appliance for security and entertainment captures images digitally for storage. Digital effects and filters are applied to incoming video stream on-the-fly or to video data stored in memory. Digital effects and filters are dynamically stored, modified, updated or deleted, providing extensible reconfigurable effects studio. Digital media appliance communicates wirelessly with other media appliances, computers, security systems, video storage, email, chat, cellular services or PDAs to provide seamless integration of captured video stream.

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66. Method for configuring an appliance for non-linear media production comprising step:

configuring an appliance automatically using software for pre-production of media content according to a script, storyboard or template,

wherein the media content is provided by a sensor, and the software enables at least one meta data-structure to tag such content for synchronizing post-production non-linearly according to the script, storyboard or template.

67. Method of claim 66 wherein:

the content is processed in real-time by reconfigurable logic that encodes digital video on-the-fly according to an H.264 video format.

68. Method of claim 66 wherein:

the software comprises a user interface for guiding configuration of news, sports or movie content adaptively according to user selection of one or more branching point in the script, storyboard or template.

69. Method of claim 66 wherein:

the post-production is synchronized by re-constructing the media content with other media content from another media appliance or network peer device.

70. Pre-configured media appliance for non-linear media production comprising:

media unit comprising sensor for generating a media content signal; and

controller for pre-producing the signal according to a script, storyboard or template, such that at least one meta data-structure tags the signal for synchronizing post-production non-linearly according to the script, storyboard or template.

71. Appliance of claim 70 further comprising:

communication unit for enabling cellular, zigbee or Bluetooth wireless communication of the signal for post-production of such signal by a renderer.

72. Appliance of claim 71 wherein:

the communication unit performs programmable protocol translation, format conversion, network packet processing, and communication encryption or decryption.

73. Appliance of claim 71 wherein:

the sensor performs color-space conversion, backlight compensation, white balancing, gain control, activity detection, motion detection, gamma correction, multi-frame noise reduction, depth estimation, bad-pixel correction, and video stabilization.

74. Appliance of claim 71 wherein:

the controller authorizes content, device and user, and is powered by a methanol fuel cell.

75. Method for re-constructing media content for non-linear post-production comprising steps:

accessing a first media content from a first media appliance, such first content being pre-produced according to a script, storyboard or template;

accessing a second media content from a second media appliance, such second content being pre-produced according to the script, storyboard or template; and

post-producing the first content and the second content, wherein at least one meta data-structure in each of such first and second content tags such corresponding content for synchronizing post-production non-linearly according to the script, storyboard or template.

76. Method of claim 75 wherein:

at least one of the meta data-structure comprises a theatre-automation cue.

77. Method of claim 75 wherein:

the post-production is synchronized non-deterministically according to a Bayesian model, a neural network, or fuzzy logic.