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Max Delgadillo

from Santa Clara, CA
Age ~39
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Also known as:
Maximiliano Delgadillo, Mas L
Related to:
Arnulfo DelgadilloSocorro Rosales Jimenez, 67Marcia Oglesbay, 72Martha T Delgadillo, 60
Connected to:
Albert Delgadillo, 52Alfred R Delgadillo, 60Amalia Delgadillo, 65Beatriz Delgadillo, 60Briana B Delgadillo, 42Carlo E Delgadillo, 39Christopher A Delgadillo, 40Claudio Delgadillo, 62Cristian A Delgadillo, 34Edmar Delgadillo, 34

Max Delgadillo Phones & Addresses

  • Santa Clara, CA
  • Monterey, CA
  • Salinas, CA
  • Redwood City, CA
  • Berkeley, CA
  • 3017 Kaiser Dr UNIT F, Santa Clara, CA 95051

Publications

Us Patents

Scalable Tree-Based Search Of Content Descriptors

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US Patent:
8352483, Jan 8, 2013
Filed:
May 12, 2010
Appl. No.:
12/778957
Inventors:
Sunil Ramesh - Palo Alto CA, US
Arnab S. Dhua - Palo Alto CA, US
Max Delgadillo - Palo Alto CA, US
Raghavan Manmatha - Palo Alto CA, US
Assignee:
A9.com, Inc. - Palo Alto CA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707758, 707769
Abstract:
Multiple paths of an index tree may be traversed to discover a set of content descriptors that are match candidates for a set of query descriptors. A size of the set of candidate content descriptors may be optimized, for example, to reduce false positive matching errors, query latencies and/or index tree traversal times, at least in part by determining a number of child nodes to traverse based at least in part on current traverse level and/or traverse neighborhood thresholds. Index trees for large content descriptor sets may be built in resource constrained environments with approximation and/or refining build techniques.

Decoding Barcodes

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US Patent:
8413903, Apr 9, 2013
Filed:
Apr 27, 2011
Appl. No.:
13/095230
Inventors:
Arnab S Dhua - Mountain View CA, US
Max Delgadillo - Santa Clara CA, US
Assignee:
A9.com, Inc. - Palo Alto CA
International Classification:
G02B 26/10
US Classification:
23546225, 23546209, 2354621
Abstract:
Various algorithms are presented that enable an image of a barcode, captured by a camera of an electronic device, to be decoded on the device without need to upload the image information to a server for processing. The algorithms can account for variations in focus of the image, as may result in blur due to move movement or auto-focus features. The approaches can handle multiple barcode formats, and can handle barcodes on curved surfaces, barcodes with damaged areas, or barcodes that are otherwise uneven. Such algorithms are highly accurate while being fast and lightweight enough to execute on portable electronic devices, such as tablet computers and smart phones.

Method And System For Image Matching

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US Patent:
20100211602, Aug 19, 2010
Filed:
Feb 18, 2009
Appl. No.:
12/378599
Inventors:
Keshav Menon - Sunnyvale CA, US
Max Delgadillo - Salinas CA, US
Sunil Ramesh - San Jose CA, US
Gd Ramkumar - Palo Alto CA, US
International Classification:
G06F 17/30
US Classification:
707772, 707E17108
Abstract:
The present invention provides a method and system for image matching. The method includes receiving a query image at a query-server. Further, the method includes, sending a request to one or more image-matching servers of a set of distributed image-matching servers to conduct an image-search corresponding to the query image. Furthermore, the method includes receiving at the query-server, a list of identified matches from the image-matching servers corresponding to the query image, wherein the list of matches is identified based on the image-search at the image-matching servers. Moreover, the method includes selecting one or more matches from the list of identified matches based on a score corresponding to the identified matches.

Content Collection Search With Robust Content Matching

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US Patent:
20130254235, Sep 26, 2013
Filed:
Sep 15, 2012
Appl. No.:
13/621171
Inventors:
Arnab S. Dhua - Sunnyvale CA, US
Sunil Ramesh - San Jose CA, US
Max Delgadillo - Salinas CA, US
Raghavan Manmatha - Belchertown MA, US
Assignee:
A9.com, Inc. - Palo Alto CA
International Classification:
G06F 17/30
US Classification:
707780
Abstract:
Systems and approaches for searching a content collection corresponding to query content are provided. In particular, false positive match rates between the query content and the content collection may be reduced with a minimum content region test and/or a minimum features per scale test. For example, by correlating content descriptors of a content piece in the content collection with query descriptors of the query content, the content piece can be determined to match the query content when a particular region of the content piece and/or a particular region of a query descriptor have a proportionate size meeting or exceeding a specified minimum. Alternatively, or in addition, the false positive match rate between query content and a content piece can be reduced by comparing content descriptors and query descriptors of features at a plurality of scales. A content piece can be determined to match the query content according to descriptor proportion quotas for the plurality of scales.

Content Collection Search With Robust Content Matching

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US Patent:
8332419, Dec 11, 2012
Filed:
May 13, 2010
Appl. No.:
12/779254
Inventors:
Arnab S. Dhua - Sunnyvale CA, US
Sunil Ramesh - San Jose CA, US
Max Delgadillo - Salinas CA, US
Raghavan Manmatha - Belchertown MA, US
Assignee:
A9.com - Palo Alto CA
International Classification:
G06F 7/00
G06F 17/00
US Classification:
707758, 707769, 707780
Abstract:
False positive match rates between query content and content in a collection may be reduced with a minimum content region test and/or a minimum features per scale test. The quality of correlations between query descriptors and content descriptors may be improved with a modified sub-region descriptor construction. Content regions associated with detected content features may be partitioned into disjoint sets of sub-regions that cover the content regions, the sub-regions modified so as to at least partially overlap, and descriptor components generated for the modified sub-regions. Matching of feature-sparse content may be improved by adding blurred versions to the collection.

Method And System Of Automatically Downloading Media Content In A Preferred Network

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US Patent:
20160210285, Jul 21, 2016
Filed:
Dec 28, 2015
Appl. No.:
14/981617
Inventors:
- Cupertino CA, US
Dominic James Doran Hughes - Menlo Park CA, US
Georgios Sofianatos - San Francisco CA, US
Gurumurthy D. Ramkumar - Palo Alto CA, US
Max Delgadillo - Cupertino CA, US
International Classification:
G06F 17/30
H04L 29/08
H04L 29/06
Abstract:
In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.

Content Collection Search With Robust Content Matching

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US Patent:
20150213061, Jul 30, 2015
Filed:
Jan 26, 2015
Appl. No.:
14/605669
Inventors:
- Palo Alto CA, US
Sunil Ramesh - San Jose CA, US
Max Delgadillo - Salinas CA, US
Raghavan Manmatha - San Francisco CA, US
International Classification:
G06F 17/30
Abstract:
Systems and approaches for searching a content collection corresponding to query content are provided. In particular, false positive match rates between the query content and the content collection may be reduced with a minimum content region test and/or a minimum features per scale test. For example, by correlating content descriptors of a content piece in the content collection with query descriptors of the query content, the content piece can be determined to match the query content when a particular region of the content piece and/or a particular region of a query descriptor have a proportionate size meeting or exceeding a specified minimum. Alternatively, or in addition, the false positive match rate between query content and a content piece can be reduced by comparing content descriptors and query descriptors of features at a plurality of scales. A content piece can be determined to match the query content according to descriptor proportion quotas for the plurality of scales.

Method And System Of Automatically Downloading Media Content In A Preferred Network

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US Patent:
20150074022, Mar 12, 2015
Filed:
Nov 4, 2013
Appl. No.:
14/070583
Inventors:
- Cupertino CA, US
Dominic Hughes - Menlo Park CA, US
Georgios Sofianatos - San Francisco CA, US
Gurumurthy D. Ramkumar - Palo Alto CA, US
Max Delgadillo - Cupertino CA, US
International Classification:
G06N 7/00
G06N 99/00
H04L 29/08
US Classification:
706 12, 706 52
Abstract:
In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.
Control profile
Max Delgadillo from Santa Clara, CA, age ~39 Get Report