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(12) United States Patent (10) Patent No.: US 7,974,714 B2 Hoffberg (45) Date of Patent: Jul US007.9747 14B2 (12) United States Patent (10) Patent No.: US 7,974,714 B2 Hoffberg (45) Date of Patent: Jul. 5, 2011 (54) INTELLIGENT ELECTRONIC APPLIANCE 3,967.241 A 6, 1976 Kawa SYSTEMAND METHOD 3,993,976 A 1 1/1976 Ginsburg 4,025,851 A 5, 1977 Haselwood et al. (76) Inventor: Steven Mark Hoffberg, West Harrison, 4,100,370 A 7, 1978 Suzuki et al. NY (US) (Continued) (*) Notice: Subject to any disclaimer, the term of this FOREIGN PATENT DOCUMENTS patent is extended or adjusted under 35 EP PCT/EPOOf 13.194 T 2001 U.S.C. 154(b) by 383 days. (Continued) (21) Appl. No.: 11/467,928 OTHER PUBLICATIONS (22) Filed: Aug. 29, 2006 Ding et al., U.S. Appl. No. 60/212,546, filed Jun 20, 2000, US Provisional Patent Application, pp. 1-8.* (65) Prior Publication Data (Continued) US 2007/OO53513 A1 Mar. 8, 2007 Primary Examiner — Vivian Chin Related U.S. Application Data Assistant Examiner — Daniel R Sellers (63) Continuation of application No. 11/045,689, filed on (74) Attorney, Agent, or Firm — Steven M. Hoffberg; Jan. 29, 2005, which is a continuation of application Ostrolenk Faber LLP No. 09/680,049, filed on Oct. 5, 2000, now Pat. No. 6,850,252. (57) ABSTRACT Provisional application No. 60/157,829, filed on Oct. An intelligent electronic appliance preferably includes a user (60) interface, data input and/or output port, and an intelligent 5, 1999. processor. A preferred embodiment comprises a set top box (51) Int. C. for interacting with broadband media streams, with an adap (2006.01) tive user interface, content-based media processing and/or H04R 3/02 (2006.01) media metadata processing, and telecommunications integra GIIB 2L/02 (2006.01) tion. An adaptive user interface models the user, by observa HO)4N 5/78 (2006.01) tion, feedback, and/or explicit input, and presents a user inter (52) U.S. Cl. ............ 700/94; 381/73.1: 360/75; 386/321 face and/or executes functions based on the user model. A Field of Classification Search .................... 700/94; content-based media processing system analyzes media con (58) tent, for example audio and video, to understand the content, 381/712, 71.3, 94.1, 94.9, 73.1, 71.8, 71.12, for example to generate content-descriptive metadata. A 381/71.14; 360/75, 77.06: 386/321 media metadata processing system operates on locally or See application file for complete search history. remotely generated metadata to process the media in accor (56) References Cited dance with the metadata, which may be, for example, an electronic program guide, MPEG 7 data, and/or automati U.S. PATENT DOCUMENTS cally generated format. A set top box preferably includes 3,560,930 A 2f1971 Howard digital trick play effects, and incorporated digital rights man 3,609.684 A 9/1971 Lipp agement features. 3,849,760 A 11/1974 Endou et al. 3,928,719 A 12/1975 Sasabe et al. 23 Claims, 29 Drawing Sheets Provide data storage device having a controllable actuator which produces changing acoustic emissions during data storage device operations 3301 Provide computer a model relating data storage device control signals and acoustic emissions associated with the actuator 3302 selectively controlling both the actuator of the data storage device and an audio transducer separate from the actuator in dependence on an audio program of a media rendering system and the Computer model, to reduce a perceived acoustic disturbance from the changing acoustic emissions 3303 US 7,974,714 B2 Page 2 U.S. PATENT DOCUMENTS 4,809,331 A 2, 1989 Holmes ........................... 381,41 4,817,171 A 3/1989 Stentiford ....... ... 382/19 4,117,511 A 9/1978 Baer et al. 4,817, 176 A 3/1989 Marshall et al. ... 382/43 4,118,730 A 10/1978 Lemelson 4,829,453 A 5/1989 Katsuta et al. ................ 364,521 4,148,061 A 4, 1979 Lemelson 4,831,659 A 5/1989 Miyaoka et al. ................ 382.56 4,203,076 A 5/1980 Yamashita 4,837,842 A 6/1989 Holt ................................ 382/26 4,208,652. A 6/1980 Marshall 4,841,575 A 6/1989 Welsh et al. 4,213, 183 A 7, 1980 Barronet al. 4,843,562 A 6/1989 Kenyonet al. 4,225,850 A 9/1980 Chang et al. 4,843,631 A 6/1989 Steinpichler et al. 4,228,421 A 10/1980 Asada 4,845,610 A 7, 1989 Parvin 4,230,990 A 10/1980 Lert et al. 4,847.69s. A 7/1989 Freeman 4,244,043 A 1/1981 Fujita et al. 4,847,699 A 7/1989 Freeman 4,245,245 A 1, 1981 Matsumoto et al. 4847,700 A 7, 1989 Freeman 4.264,924. A 4, 1981 Freeman 4,860,361. A * 8/1989 Sato et al. ....................... 381/55 4.264,925 A 4, 1981 Freeman et al. 4,862.015 A 8, 1989 Grandfield 4,298,889 A 1 1/1981 Burianek et al. 487673. A 10/1989 Lorisetal. 4,305,131. A 12/1981 Best 4,878,179 A 10/1989 Larsen et al. 4.331,974 A 5/1982 Cogswell et al. 4,881,270 A 11/1989 Knecht et al. 4,337,529 A 6/1982 Morokawa 4,884,217 A 1 1/1989 Skeirik et al. 4.338,626 A 7, 1982 Lemelson 4,887,304 A 12/1989 Terzian 4,346,407 A 8/1982 Baer et al. 4,888,814 A 12/1989 Yamaguchi et al. 4,390.904 A 6, 1983 Johnston et al. 4,891.762. A 1/1990 Chotiros 4,395,780 A 7/1983 Gohm et al. 4,893,346 A 1/1990 Bishop 4,417.246 A 1 1/1983 Agnor et al. 4,894,734. A 1/1990 Fischler et al. 4.420,769 A 12/1983 Novak 4,902,986 A 2/1990 Lesmeister 4,439,788 A 3/1984 Frame 4.905,162. A 2/1990 Hartzband et al. 4.450,531. A 5/1984 Kenyonet al. 4.905,163 A 2/1990 Garber et al. ;: A 3: East al. 4.905,286 A 2/1990 Sedgwicket al. w 9. 4,906,940 A 3, 1990 Greene et al. 4486,832 A 12/1984 Haubner et al. 4.908.713 A 3, 1990 Levine 4,499,601. A 2/1985 Matthews 4,908.758. A 3/1990 Sanders 4,506,301 A 3/1985 Kingsley et al. 4,912.433. A 3/1990 Motegiet al. 4,511.918 A 4, 1985 Lemelson 4.912,648 A 3/1990 Tyler 4,519,086 A 5/1985 Hull et al. 4.914,708 A 4/1990 Carpenter et al. 4,535,453 A 8/1985 Rhodes et al. 4,918,516 A 4, 1990 Freeman 4,546,382 A 10, 1985 McKenna et al. 4920,499 A 4, 1990 Skeirik 4,546,387 A 10/1985 Glaab ........................... 358, 186 4,930,160 A 5/1990 Vogel 4,547,899 A 10/1985 Nally et al. 382.7 4,931.926. A 6/1990 Tanaka et al 4,558,464 A 12/1985 O’Brien, Jr. ... 455,4 4.93.1985 A 6/1990 Glaise et al. 4,573,072 A 2, 1986 Freeman ........................... 358/8 494.193 A 7/1990 Barnsley etal 4.575,755 A 3/1986 Schoeneberger et al. ... 358/120 4.944,023 A 7, 1990 Imao et all 4.581,762 A 4, 1986 Lapidus et al. ....... ... 382/22 4949,187 A 8/1990 Cohen 4,593,367 A 6/1986 Slack et al. 364,513 4.954824. A 9/1990 Yamada etal 4,602,279 A 7/1986 Freeman . ... 358/86 4.956.870 A 9/1990 Hara 4,603,349 A 7/1986 Robbins ...... ... 358/86 4.958.220 A 9, 1990 Alessietal 4,621.285 A 1 1/1986 Schilling et al. .............. 358,120 4958,375 A 9/1990 Reillyet al. 4,646,250 A 2, 1987 Childress ...................... 364,518 4.963,994. A 10/1990 fevine 4,653,109 A 3, 1987 Lemelson et al. ... 382.34 4964077 A 10, 1990 Eisen et all 4,658,370 A 4, 1987 Erman et al. ... ... 395/76 4965,725 A 10/1990 Rutenberg 4,658,429 A 4, 1987 Orita et al. .. ... 382.36 4,967,273 A 10/1990 Greenberg 4,672,683. A 6/1987 Matsueda ... ... 382.57 4,972.499 A 1/1990 Kurosawa 4,677.466 A 6/1987 Lert, Jr. et al. ... 358/84 4977,455. A 12/1990 Young 4,682,365. A 7/1987 Orita et al. .. ... 382/14 4979,222. A 12/1990 Weber 4,695,975 A 9/1987 Bedrij ......... 395,147 4,982.344 A 1/1991 Jordan 4,697.209 A 9, 1987 Kiewit et al. ................... 358/84 4,984.255. A 1/1991 Davisetal 4,706,121. A 1 1/1987 Young 4987,604. A 1/1991 Rouch 4,716.404 A 12, 1987 Tabata et al. .................. 340,723 4.989256. A 1/1991 Buckley 4,739,398 A 4, 1988 Thomas et al ... 358/84 4989,258. A 1/1991 Takahashietal 4,745,549 A 5/1988 Hashimoto ... 364/402 4992,940 A 2/1991 Dworkin 4,747,148 A 5/1988 Watanabe et al. ............... 382/10 4992,973 A 2, 1991 Brooksetal 4,752,890 A 6/1988 Natarajan et al. ............. 364/513 4,995,078 A 2, 1991 Monslow etal 4,760,604. A 7/1988 Cooper et al.
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