WO2016184031A1 - 图片搜索方法、装置和存储介质 - Google Patents

图片搜索方法、装置和存储介质 Download PDF

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Publication number
WO2016184031A1
WO2016184031A1 PCT/CN2015/092415 CN2015092415W WO2016184031A1 WO 2016184031 A1 WO2016184031 A1 WO 2016184031A1 CN 2015092415 W CN2015092415 W CN 2015092415W WO 2016184031 A1 WO2016184031 A1 WO 2016184031A1
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Prior art keywords
area
picture
user
search
closed
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English (en)
French (fr)
Inventor
阎彤
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Baidu Online Network Technology Beijing Co Ltd
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Baidu Online Network Technology Beijing Co Ltd
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Priority to US15/504,189 priority Critical patent/US20180067971A1/en
Publication of WO2016184031A1 publication Critical patent/WO2016184031A1/zh
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53—Querying
    • G06F16/532—Query formulation, e.g. graphical querying
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/142—Image acquisition using hand-held instruments; Constructional details of the instruments
    • G06V30/1423—Image acquisition using hand-held instruments; Constructional details of the instruments the instrument generating sequences of position coordinates corresponding to handwriting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/32—Digital ink

Definitions

  • Embodiments of the present invention relate to the field of search engine technologies, and in particular, to a picture search method, apparatus, and storage medium.
  • the image search engine can be divided into a text-based image search engine, a content-based image search engine, and a semantic-based image search engine.
  • the content-based image search technology uses the visual features of the image, such as color, texture, shape, etc., as matching features of the image to perform matching and searching, thereby obtaining search results that the user may need.
  • the existing content-based image search engine generally requires the background of the picture provided by the user to be searched as simple as possible.
  • the search image used by the user does not necessarily meet such requirements. For example, users need to search for a building of their own way, and this building is in the middle of multiple buildings, it is difficult to find the shooting angle of the building to be searched only. In this way, it is difficult to obtain a simple picture of the building.
  • the application range of image search is small and the popularity is not high.
  • Embodiments of the present invention provide a picture search method, apparatus, and storage medium to easily identify an image corresponding to an object to be searched from a picture for searching.
  • an embodiment of the present invention provides a picture search method, including:
  • a search request is initiated based on the search target based on a search instruction entered by the user.
  • an embodiment of the present invention further provides an image search apparatus, including:
  • Display module for displaying pictures
  • An identification module configured to identify a closed area according to a curve drawn by the user on the picture
  • a target determining module configured to determine a search target in the picture according to the closed area
  • a requesting module configured to initiate a search request based on the search target according to a search instruction input by the user.
  • embodiments of the present invention provide one or more storage media containing computer executable instructions for performing a picture search method when executed by a computer processor, the method comprising the following steps :
  • a search request is initiated based on the search target based on a search instruction entered by the user.
  • the image searching method, apparatus and storage medium provided by the embodiments of the present invention identify a closed area according to a curve drawn by a user on the picture by displaying a picture, determine a search target in the picture according to the closed area, and input according to the user
  • the search instruction initiates a search request based on the search target, so that an image corresponding to the object to be searched can be easily identified from the picture for searching.
  • FIG. 1 is a flowchart of a picture search method according to a first embodiment of the present invention
  • FIG. 2 is a flowchart of identification in a picture search method according to a second embodiment of the present invention.
  • FIG. 3 is a flowchart of a picture search method according to a third embodiment of the present invention.
  • FIG. 4 is a flowchart of a picture search method according to a fourth embodiment of the present invention.
  • FIG. 5 is a flowchart of a picture search method according to a fifth embodiment of the present invention.
  • 6A is a display interface diagram of a picture before a difference display and a label display according to a fifth embodiment of the present invention.
  • 6B is a display interface diagram of a picture after the difference display and the label display according to the fifth embodiment of the present invention.
  • FIG. 7 is a flowchart of target determination in a picture search method according to a sixth embodiment of the present invention.
  • FIG. 8 is a structural diagram of a picture search apparatus according to a seventh embodiment of the present invention.
  • This embodiment provides a technical solution of the picture search method.
  • the technical solution can be performed by a picture search device, which can be integrated in a computing device on the user side, such as a smart mobile terminal, a PC.
  • the image search method includes:
  • the image used to obtain the search target Before initiating an image search from a search target in the image, the image used to obtain the search target should be obtained and displayed.
  • the picture may be a picture taken by the user using the camera, or may be a picture downloaded by the user from the network.
  • a curve drawn by the user on the display screen is acquired, and a closed area is identified on the picture according to the drawn curve.
  • the enclosed area is the area enclosed by the curve.
  • the curve drawn by the user on the display screen sometimes does not fully meet the requirements. Specifically, the curve drawn by the user on the display screen is not completely closed. At this time, the closed region corresponding to the curve can be identified according to the position of the start point and the end point of the curve. Specifically, the incompletely closed curve can be compensated by the straight line connecting the starting point and the ending point to make it a closed curve, and the area covered by the compensated closed curve is identified as a closed area.
  • the search target is further determined according to the closed area.
  • the search target is a target to be searched for by a search request to be initiated by the user.
  • the target can be an object or a character.
  • the search target should correspond to a specific image area in the picture.
  • a range of image regions corresponding to the search target is larger than a range of the closed region, and in other portions of the image, a range of image regions corresponding to the search target is smaller than The scope of the enclosed area.
  • the specific range of the image area corresponding to the search target should be determined by determining the search target.
  • a search instruction input by the user may be received.
  • the display component for inputting the search instruction is displayed to the user, and the search instruction input by the user is acquired based on the user's operation on the display component.
  • an internet search request is initiated based on the search target according to the search target.
  • identifying the closed area according to the curve drawn by the user on the picture comprises: identifying a line drawn by the user on the picture; if the line is closed, identifying the closed area as a closed area; If the line is not closed, the end point distance of the line is identified; if the line end point distance is less than a set threshold, the area enclosed by the line is determined as the closed area.
  • identifying a closed area according to a curve drawn by the user on the picture includes:
  • the sliding trajectory entered by the user on the display screen constitutes a line drawn by the user on the picture.
  • the line itself should be closed or approximately closed.
  • the line drawn by the user on the picture is itself a closed line
  • the area enclosed by the line that is, the closed area
  • the spatial extent of the enclosed area should not exceed the display range of the picture.
  • the closed area can still be determined from the line.
  • the specific operation process is to first identify the distance between the two endpoints of the line.
  • a set threshold is set in advance for the distance between the endpoints capable of recognizing the closed area. If the distance between the two end points of the line is less than the set threshold, the line can still be enclosed The area acts as a closed area.
  • the closed area is recognized as a closed area, and when the line is not closed, the end point distance of the line is recognized, and When the line end distance is less than the set threshold, the area enclosed by the line is determined as the closed area, so that not only the closed area can be identified according to the closed line input by the user, but also the closed area can be identified according to the unclosed line input by the user, thereby improving The fault tolerance of the image search method.
  • This embodiment is based on the above embodiment of the present invention, and further provides a technical solution of the image search method.
  • the method further includes: if the number of the closed area is greater than the set number threshold, sending abnormal information to the user to prompt the user to re-draw Set the closed curve.
  • the image search method includes:
  • the abnormal information is sent to the user to prompt the user to re-define the closed curve. Therefore, it is difficult to determine the search target when there are multiple closed regions, and the reliability of the image search method is improved.
  • This embodiment is based on the above embodiment of the present invention, and further provides a technical solution of the image search method.
  • the method further includes: calculating an area of the area defined by the closed area; if the area of the area is less than a preset area threshold, then The user sends an exception message to prompt the user to re-define the closed curve.
  • the image search method includes:
  • the area of the enclosed area identified from the curve is too small. If the search target is further determined based on such a closed area, the recognition of the search target is also difficult. Therefore, before determining the search target, it is necessary to calculate and distinguish the area of the enclosed area.
  • An area threshold is set for the area of the area enclosed by the enclosed area.
  • the area threshold is a lower threshold. That is, if the area of the area is smaller than the area threshold, the closed area is abnormal, an abnormality information needs to be sent to the user, and further search target determination operation is terminated.
  • the area of the area enclosed by the closed area is calculated, and when the area of the area is smaller than a preset area threshold, the user is sent to the user.
  • the abnormal information is used to prompt the user to re-define the closed curve, thereby avoiding the operation of determining the search target on the too small closed area, and improving the reliability of the image search method.
  • This embodiment is based on the above embodiment of the present invention, and further provides a picture search method.
  • the method further includes: displaying the search target differently in the picture; establishing a search tag for the search target and displaying the The search tag is used by the user to enter a search command.
  • the image search method includes:
  • the determined search target is displayed differently.
  • the particular difference display can be highlighted.
  • a search tag is created and displayed for the search target, and the search tag is used for a user to input a search instruction.
  • the search tag 62 can be a button or other display controls.
  • FIGS. 6A and 6B are display interface diagrams of pictures before and after the difference display and the label display, respectively. Referring to FIGS. 6A and 6B, after the search target 61 is determined according to the curve 60 drawn by the user, the search target 61 is displayed differently. And a search tag 62 for the user to input a search command is displayed around the search target.
  • the search target is displayed differently in the picture, and a search tag is created and displayed for the search target, thereby facilitating the user to
  • the search target inputs a search command to initiate a search request.
  • determining the search target in the picture according to the closed area comprises: acquiring at least one pixel selected by the closed curve in the picture; identifying, in the picture, the pixel including the pixel The subject, as the search target.
  • determining a search target in the picture according to the closed area includes:
  • determining the operation of the search target comprises acquiring at least one pixel belonging to the search target
  • the subject including the pixel or the pixels is identified from the picture, and the identified subject is used as a search target.
  • the embodiment obtains at least one pixel selected in the picture by the closed curve, and identifies a body including the pixel in the picture as the search target, thereby making the recognition of the search target more For the sake of ease.
  • the image search device includes a display module 81 , an identification module 82 , a target determination module 86 , and a request module 89 .
  • the display module 81 is configured to display a picture.
  • the identification module 82 is configured to identify an enclosed area according to a curve drawn by the user on the picture.
  • the target determining module 86 is configured to determine a search target in the picture according to the closed area.
  • the requesting module 89 is configured to initiate a search request based on the search target according to a search instruction input by a user.
  • the identification module 82 includes: a line recognition sub-module, a first area identification sub-module, a distance recognition sub-module, and a second area identification sub-module.
  • the line recognition sub-module is used to identify a line drawn by a user on the picture.
  • the first area identifying sub-module is configured to identify a closed area if the line is closed It is a closed area.
  • the distance recognition sub-module is configured to identify an end point distance of the line if the line is not closed.
  • the second area identifying sub-module is configured to determine an area enclosed by the line as a closed area if the line end point distance is less than a set threshold.
  • the image search device further includes: a first prompt module 83.
  • the first prompting module 83 is configured to send an abnormality information to the user after the closed area is identified according to the curve drawn by the user on the picture, to prompt the user to re-draw the abnormal information if the number of the closed area is greater than the set number threshold. Set the closed curve.
  • the image search device further includes an area calculation module 84 and a second prompt module 85.
  • the area calculation module 84 is configured to calculate an area of the area enclosed by the closed area after the closed area is identified according to a curve drawn by the user on the picture;
  • the second prompting module 85 is configured to send an abnormality information to the user to prompt the user to re-define the closed curve if the area of the area is less than a preset area threshold.
  • the image search device further includes: a difference display module 87 and a search tag display module 88.
  • the difference display module 87 is configured to separately display the search target in the picture after determining a search target in the picture according to the closed area;
  • the search tag display module 88 is configured to create and display a search tag for the search target, the search tag being used for a user to input a search command.
  • the target determining module includes: a pixel point obtaining submodule and a body identifying submodule.
  • the pixel point acquisition sub-module is configured to acquire at least one pixel selected by the closed curve in the picture.
  • the body identification sub-module is configured to identify a body including the pixel point in the picture as the search target.
  • the image search device may perform the image search method provided by any embodiment of the present invention, and Perform the corresponding functional modules and benefits of the method.
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device, which can be centralized on a single computing device or distributed over a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computer device, so that they may be stored in the storage device by the computing device, or they may be separately fabricated into individual integrated circuit modules, or multiple modules thereof Or the steps are made into a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • a search request is initiated based on the search target based on a search instruction entered by the user.
  • the foregoing storage medium when performing the method, identifies the closed area according to the curve drawn by the user on the picture, and may specifically include:
  • the closed area is identified as a closed area
  • the foregoing storage medium may further include: after identifying the closed area according to the curve drawn by the user on the picture when performing the method,
  • an exception message is sent to the user to prompt the user to re-define the closed curve.
  • the storage medium is configured to recognize a curve drawn by the user on the picture when the method is executed. After closing the area, it can also include:
  • an abnormality information is sent to the user to prompt the user to re-define the closed curve.
  • the foregoing storage medium may further include: after determining the search target in the image according to the closed area, when the method is executed,
  • a search tag is created and displayed for the search target, the search tag being used for a user to enter a search command.
  • the foregoing storage medium determines the search target in the picture according to the closed area, and may specifically include:
  • a body including the pixel point is identified in the picture as the search target.
  • the present invention can be implemented by software and necessary hardware, and can also be implemented by hardware, but in many cases, the former is a better implementation.
  • Means, based on the understanding, the part of the technical solution of the present invention that contributes in essence or to the prior art can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as A disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), and the like, including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or Network devices, etc.) perform the methods described in various embodiments of the present invention.
  • a computer device which may be a personal computer, a server, or Network devices, etc.
  • the modules and sub-modules included in the image search device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be implemented;
  • the specific names of the functional units are also for convenience of distinguishing from each other and are not intended to limit the scope of the present invention.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Library & Information Science (AREA)
  • Mathematical Physics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

一种图片搜索方法、装置和存储介质。所述图片搜索方法包括：显示图片（S11）；根据用户在所述图片上绘制的曲线识别封闭区域（S12）；根据所述封闭区域在所述图片中确定搜索目标（S13）；根据用户输入的搜索指令，基于所述搜索目标发起搜索请求（S14）。图片搜索方法和装置能够从用于搜索的图片中容易的识别出需要搜索的物体对应的图像。

Description

图片搜索方法、装置和存储介质
本专利申请要求于2015年05月21日提交的，申请号为201510262791.X，申请人为百度在线网络技术(北京)有限公司，发明名称为“图片搜索方法和装置”的中国专利申请的优先权，该申请的全文以引用的方式并入本申请中。
技术领域
本发明实施例涉及搜索引擎技术领域，尤其涉及一种图片搜索方法、装置和存储介质。
背景技术
互联网技术大行其道的今天，搜索引擎已经是我们普通人生活中必不可少的工具。随着文本搜索引擎技术的日臻成熟，图片搜索技术开始出现。相比于经过多年研究和实践，已经比较成熟的文本搜索，图片搜索无论在理论研究还是在工程实现上，都比较落后。就现有的图片搜索引擎的实现技术来说，可以将图片搜索引擎区分为基于文本的图片搜索引擎、基于内容的图片搜索引擎和基于语义的图片搜索引擎。
基于内容的图片搜索技术将图片的视觉特征，比如颜色、纹理、形状等，作为图片的表示特征，进行匹配和查找，从而获得用户可能需要的搜索结果。现有的基于内容的图片搜索引擎为了能够从图片中更为容易的识别出用户需要搜索的物体，一般都要求用户提供的用于搜索的图片的背景尽量简单。而实际上，用户使用的搜索图片并不一定满足这样的要求。比如，用户需要搜索自己途径的一幢大楼，而这幢大楼处于多个大楼中间，很难找到只拍摄到要搜索的大楼的拍摄角度。这样，获取到这幢大楼的背景简单的图片就有一定的难度。因为上述原因，就造成图片搜索的适用范围很小，受欢迎程度不高。
发明内容
本发明实施例提供了一种图片搜索方法、装置和存储介质，以从用于搜索的图片中容易的识别出需要搜索的物体对应的图像。
第一方面，本发明实施例提供了一种图片搜索方法，包括：
显示图片；
根据用户在所述图片上绘制的曲线识别封闭区域；
根据所述封闭区域在所述图片中确定搜索目标；
根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
第二方面，本发明实施例还提供了一种图片搜索装置，包括：
显示模块，用于显示图片；
识别模块，用于根据用户在所述图片上绘制的曲线识别封闭区域；
目标确定模块，用于根据所述封闭区域在所述图片中确定搜索目标；
请求模块，用于根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
第三方面，本发明实施例提供了一个或多个包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种图片搜索方法，该方法包括以下步骤：
显示图片；
根据用户在所述图片上绘制的曲线识别封闭区域；
根据所述封闭区域在所述图片中确定搜索目标；
根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
本发明实施例提供的图片搜索方法、装置和存储介质通过显示图片，根据用户在所述图片上绘制的曲线识别封闭区域，根据所述封闭区域在所述图片中确定搜索目标，以及根据用户输入的搜索指令，基于所述搜索目标发起搜索请求，从而能够从用于搜索的图片中容易地识别出需要搜索的物体对应的图像。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所 需使用的附图作简单地介绍，当然，一下描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以对这些附图进行修改和替换。
图1是本发明第一实施例提供的图片搜索方法的流程图；
图2是本发明第二实施例提供的图片搜索方法中识别的流程图；
图3是本发明第三实施例提供的图片搜索方法的流程图；
图4是本发明第四实施例提供的图片搜索方法的流程图；
图5是本发明第五实施例提供的图片搜索方法的流程图；
图6A是本发明第五实施例提供的区别显示和标签显示之前的图片的显示界面图；
图6B是本发明第五实施例提供的区别显示和标签显示之后的图片的显示界面图；
图7是本发明第六实施例提供的图片搜索方法中目标确定的流程图；
图8是本发明第七实施例提供的图片搜索装置的结构图。
具体实施方式
下面将结合附图对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明的一部分实施例，而不是全部的实施例，是为了阐述本发明的原理，而不是要将本发明限制于这些具体的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
第一实施例
本实施例提供了图片搜索方法的一种技术方案。该技术方案可以由图片搜索装置来执行，该装置可以被集成在用户侧的计算设备中，例如智能移动终端，PC机中。
具体的，参见图1，所述图片搜索方法包括：
S11，显示图片。
在利用从图片中的搜索目标发起图片搜索之前，应该获取并显示用来获取搜索目标的图片。所述图片可以是用户利用摄像头拍摄到的图片，也可以是用户从网络上下载得到的图片。
S12，根据用户在所述图片上绘制的曲线识别封闭区域。
在显示屏幕上显示所述图片之后，获取用户在所述显示屏幕上绘制的曲线，并根据所述绘制的曲线在所述图片上识别一个封闭区域。所述封闭区域是所述曲线所围成的区域。
可以理解的是，用户在显示屏幕上绘制的曲线有时并不完全符合要求。具体的，用户在显示屏幕上绘制的曲线并不完全闭合。此时，可以根据所述曲线的起点和终点的位置识别所述曲线对应的封闭区域。具体的，可以先利用起点和终点之间的直线连线弥补不完全闭合的曲线，使其成为一条闭合曲线，将弥补后的闭合曲线所覆盖的区域识别为封闭区域。
S13，根据所述封闭区域在所述图片中确定搜索目标。
确定了所述曲线对应的封闭区域后，进一步的根据所述封闭区域确定搜索目标。所述搜索目标是用户将要发起的搜索请求所要搜索的目标物。该目标物可以是一个物体，也可以是一个人物。并且，所述搜索目标应该在所述图片中对应于一个具体的图像区域。
应该理解的是，所述搜索目标对应的图像区域与所述封闭区域的范围有可能有一定的出入。比如，在所述图片的一些部分，所述搜索目标对应的图像区域的范围大于所述封闭区域的范围，而在所述图片的另外一些部分，所述搜索目标对应的图像区域的范围小于所述封闭区域的范围。所述搜索目标所对应的图像区域的具体范围，应该看对所述搜索目标进行确定的确定结果。
S14，根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
从所述图片中确定出所述搜索目标之后，可以接收用户输入的搜索指令。优先的，可以在确定出搜索目标之后，向用户显示用于输入搜索指令的显示组件，并基于用户对于所述显示组件的操作而获取用户输入的搜索指令。
获取到用户输入的搜索指令之后，根据所述搜索指令，并基于所述搜索目标发起互联网搜索请求。
本实施例通过显示图片，根据用户在所述图片上绘制的曲线识别封闭区域，根据所述封闭区域在所述图片中确定搜索目标，以及根据用户输入的搜索指令，基于所述搜索目标发起搜索请求，从而从用于搜索的图片中容易的识别出需要搜索的物体对应的图像。
第二实施例
本实施例以本发明的上述实施例为基础，进一步的提供了所述图片搜索方法中识别操作的一种技术方案。在该技术方案中，根据用户在所述图片上绘制的曲线识别封闭区域包括：识别用户在所述图片上绘制的线条；如果所述线条闭合，则识别出闭合的区域作为封闭区域；如果所述线条不闭合，则识别所述线条的端点距离；如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
参见图2，根据用户在所述图片上绘制的曲线识别封闭区域包括：
S21，识别用户在所述图片上绘制的线条。
应该理解的是，用户在显示屏幕上输入的滑动轨迹构成了用户在所述图片上绘制的线条。所述线条本身应该是闭合或者近似闭合的。
S22，如果所述线条闭合，则识别出闭合的区域作为封闭区域。
当用户在所述图片上绘制的线条本身是一个闭合线条的时候，从所述图片上识别出所述线条所包围的区域，也就是闭合的区域，作为所述封闭区域。所述封闭区域的空间范围应该并不超出所述图片的显示范围。
S23，如果所述线条不闭合，则识别所述线条的端点距离。
对于本身并不闭合的线条，如果该线条的两个端点，也就是起点和终点之间的空间距离不大，则仍可以根据所述线条确定所述封闭区域。具体的操作过程则是首先识别所述线条的两个端点之间的距离。
S24，如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
对能够识别封闭区域的端点间距离，预先设置有一个设定阈值。如果所述线条的两个端点之间的距离小于所述设定阈值，则仍可以将所述线条所围设的 区域作为封闭区域。
本实施例通过识别用户在所述图片上绘制的线条，当所述线条闭合时，识别出闭合的区域作为封闭区域，当所述线条不闭合时，识别所述线条的端点距离，并在所述线条端点距离小于设定阈值时，确定所述线条围设的区域作为封闭区域，从而不仅能够根据用户输入的闭合线条识别封闭区域，而且能够根据用户输入的不闭合的线条识别封闭区域，提高了图片搜索方法的容错性。
第三实施例
本实施例以本发明的上述实施例为基础，进一步的提供了图片搜索方法的一种技术方案。在该技术方案中，根据用户在所述图片上绘制的曲线识别封闭区域之后，还包括：如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
参见图3，所述图片搜索方法包括：
S31，显示图片。
S32，根据用户在所述图片上绘制的曲线识别封闭区域。
S33，如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
如果根据用户绘制的曲线识别出了多个封闭区域，则根据封闭区域确定唯一的搜索目标的难度较大。因此，如果所述封闭区域的数量大于设定的数量阈值，向用户发送异常信息，并且不再执行确定搜索目标的动作。
S34，根据所述封闭区域在所述图片中确定搜索目标。
S35，根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
本实施例通过在根据用户在所述图片上绘制的曲线识别封闭区域之后，当所述封闭区域的数量大于设定的数量阈值之时，向用户发送异常信息，以提示用户重新划定封闭曲线，从而避免了存在多个封闭区域时难以确定搜索目标的情况，提高了所述图片搜索方法的可靠性。
第四实施例
本实施例以本发明的上述实施例为基础，进一步的提供了图片搜索方法的一种技术方案。在该技术方案中，根据用户在所述图片上绘制的曲线识别封闭区域之后，还包括：计算所述封闭区域所圈定的区域面积；若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
参见图4，所述图片搜索方法包括：
S41，显示图片。
S42，根据用户在所述图片上绘制的曲线识别封闭区域。
S43，计算所述封闭区域所圈定的区域面积。
在一些情况下，根据所述曲线识别的封闭区域的面积过小。如果根据这样的封闭区域进一步的确定搜索目标，也会造成搜索目标的识别困难。因此，在确定搜索目标之前，需要对所述封闭区域的区域面积进行计算和区分。
具体的，对所述封闭区域的区域面积进行计算和区分时，首先要计算所述封闭区域所圈定的区域面积。
S44，若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
对所述封闭区域所圈定的区域面积设定有面积阈值。所述面积阈值是一个下限阈值。也就是说，如果所述区域面积小于所述面积阈值，则所述封闭区域异常，需要向用户发送异常信息，并终止进一步的搜索目标确定操作。
S45，根据所述封闭区域在所述图片中确定搜索目标。
S46，根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
本实施例通过在根据用户在所述图片上绘制的曲线识别封闭区域之后，计算所述封闭区域所圈定的区域面积，以及当所述区域面积小于预先设定的面积阈值之时，向用户发送异常信息，以提示用户重新划定封闭曲线，从而避免了在过小的封闭区域上确定搜索目标的操作，提高了所述图片搜索方法的可靠性。
第五实施例
本实施例以本发明上述实施例为基础，进一步的提供了图片搜索方法的一 种技术方案。在该技术方案中，根据所述封闭区域在所述图片中确定搜索目标之后，还包括：在所述图片中区别显示所述搜索目标；为所述搜索目标建立搜索标签并进行显示，所述搜索标签用于供用户输入搜索指令。
参见图5，所述图片搜索方法包括：
S51，显示图片。
S52，根据用户在所述图片上绘制的曲线识别封闭区域。
S53，根据所述封闭区域在所述图片中确定搜索目标。
S54，在所述图片中区别显示所述搜索目标。
在本实施例中，从所述封闭区域中确定搜索目标之后，对确定的所述搜索目标进行区别显示。特别的所述区别显示可以是高亮显示。
S55，为所述搜索目标建立搜索标签并进行显示，所述搜索标签用于供用户输入搜索指令。
在对所述搜索目标进行区别显示之后，还需要在所述显示界面上显示搜索标签62。所述搜索标签62可以是一个按钮，也可以是其他的显示控件。
图6A及图6B分别是区别显示和标签显示之前及之后的图片的显示界面图。参见图6A及图6B，在根据用户绘制的曲线60确定所述搜索目标61之后，对所述搜索目标61进行区别显示。并且在所述搜索目标的周围显示用于供用户输入搜索指令的搜索标签62。
S56，根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
本实施例通过在根据所述封闭区域在所述图片中确定搜索目标之后，在所述图片中区别显示所述搜索目标，以及为所述搜索目标建立搜索标签并进行显示，从而方便了用户根据所述搜索目标输入搜索指令，进而发起搜索请求。
第六实施例
本实施例以本发明上述实施例为基础，进一步的提供了图片搜索方法中目标确定的一种技术方案。在该技术方案中，根据所述封闭区域在所述图片中确定搜索目标包括：获取所述封闭曲线在所述图片内选择的至少一个像素点；在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
参见图7，根据所述封闭区域在所述图片中确定搜索目标包括：
S71，获取所述封闭曲线在所述图片内选择的至少一个像素点。
可以理解的是，虽然在所述图片上划定了用来识别搜索目标的封闭曲线，但是，所述封闭区域内仍然可能包括不属于所述搜索目标的物体的图像。为了进一步的从所述封闭区域内容易的识别出所述搜索目标，在所述图片上圈定所述封闭区域之后，用户还可以在所述封闭区域内选择属于所述搜索目标的至少一个像素点。对应的，确定所述搜索目标的操作包括获取属于所述搜索目标的至少一个像素点
S72，在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
获取所述至少一个像素点之后，从所述图片中识别包含这个或者这些像素点的主体，并将识别得到的主体作为搜索目标。
本实施例通过获取所述封闭曲线在所述图片内选择的至少一个像素点，以及在所述图片中识别包括所述像素点的主体，作为所述搜索目标，从而使得对搜索目标的识别更为容易。
第七实施例
本实施例提供了图片搜索装置的一种技术方案。参见图8，在该技术方案中，所述图片搜索装置包括：显示模块81、识别模块82、目标确定模块86以及请求模块89。
所述显示模块81用于显示图片。
所述识别模块82用于根据用户在所述图片上绘制的曲线识别封闭区域。
所述目标确定模块86用于根据所述封闭区域在所述图片中确定搜索目标。
所述请求模块89用于根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
进一步的，所述识别模块82包括：线条识别子模块、第一区域识别子模块、距离识别子模块以及第二区域识别子模块。
所述线条识别子模块用于识别用户在所述图片上绘制的线条。
所述第一区域识别子模块用于如果所述线条闭合，则识别出闭合的区域作 为封闭区域。
所述距离识别子模块用于如果所述线条不闭合，则识别所述线条的端点距离。
所述第二区域识别子模块用于如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
进一步的，所述图片搜索装置还包括：第一提示模块83。
所述第一提示模块83用于根据用户在所述图片上绘制的曲线识别封闭区域之后，如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
进一步的，所述图片搜索装置还包括：面积计算模块84以及第二提示模块85。
所述面积计算模块84用于根据用户在所述图片上绘制的曲线识别封闭区域之后，计算所述封闭区域所圈定的区域面积；
所述第二提示模块85用于若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
进一步的，所述图片搜索装置还包括：区别显示模块87以及搜索标签显示模块88。
所述区别显示模块87用于根据所述封闭区域在所述图片中确定搜索目标之后，在所述图片中区别显示所述搜索目标；
所述搜索标签显示模块88用于为所述搜索目标建立搜索标签并进行显示，所述搜索标签用于供用户输入搜索指令。
进一步的，所述目标确定模块包括：像素点获取子模块以及主体识别子模块。
所述像素点获取子模块用于获取所述封闭曲线在所述图片内选择的至少一个像素点。
所述主体识别子模块用于在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
上述图片搜索装置可执行本发明任意实施例所提供的图片搜索方法，具备 执行方法相应的功能模块和有益效果。
本领域普通技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个计算装置上，或者分布在多个计算装置所组成的网络上，可选地，他们可以用计算机装置可执行的程序代码来实现，从而可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件的结合。
第八实施例
一个或多个包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种图片搜索方法，其特征在于，所述方法包括以下步骤：
显示图片；
根据用户在所述图片上绘制的曲线识别封闭区域；
根据所述封闭区域在所述图片中确定搜索目标；
根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
上述存储介质在执行所述方法时，根据用户在所述图片上绘制的曲线识别封闭区域，还具体可以包括：
识别用户在所述图片上绘制的线条；
如果所述线条闭合，则识别出闭合的区域作为封闭区域；
如果所述线条不闭合，则识别所述线条的端点距离；
如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
上述存储介质在执行所述方法时，根据用户在所述图片上绘制的曲线识别封闭区域之后，还可包括：
如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
上述存储介质在执行所述方法时，根据用户在所述图片上绘制的曲线识别 封闭区域之后，还可包括：
计算所述封闭区域所圈定的区域面积；
若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
上述存储介质在执行所述方法时，根据所述封闭区域在所述图片中确定搜索目标之后，还可包括：
在所述图片中区别显示所述搜索目标；
为所述搜索目标建立搜索标签并进行显示，所述搜索标签用于供用户输入搜索指令。
上述存储介质在执行所述方法时，根据所述封闭区域在所述图片中确定搜索目标，还具体可以包括：
获取所述封闭曲线在所述图片内选择的至少一个像素点；
在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
通过以上关于实施方式的描述，所属领域的技术人员可以清楚地了解到，本发明可借助软件及必需的通过硬件来实现，当然也可以通过硬件来实现，但很多情况下前者是更佳的实施方式，基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读取存储介质中，如磁盘、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或网络设备等)执行本发明各个实施例所述的方法。
值得注意的是，上述图片搜索装置的实施例中，所包括的各个模块和子模块只是按照功能逻辑进行划分的，但并不局限于上述的划分，只要能够实现相应的功能即可；另外，各功能单元的具体名称也只是为了便于相互区分，并不用于限定本发明的保护范围。
本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间的相同或相似的部分互相参见即可。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何本技术领域的技术人员在本发明披露的技术范围内，可轻易想到的变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围以所述权利要求的保护范围为准。

Claims (13)

  1. 一种图片搜索方法，其特征在于，包括：
    显示图片；
    根据用户在所述图片上绘制的曲线识别封闭区域；
    根据所述封闭区域在所述图片中确定搜索目标；
    根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
  2. 根据权利要求1所述的方法，其特征在于，根据用户在所述图片上绘制的曲线识别封闭区域包括：
    识别用户在所述图片上绘制的线条；
    如果所述线条闭合，则识别出闭合的区域作为封闭区域；
    如果所述线条不闭合，则识别所述线条的端点距离；
    如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
  3. 根据权利要求1所述的方法，其特征在于，根据用户在所述图片上绘制的曲线识别封闭区域之后，还包括：
    如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
  4. 根据权利要求1所述的方法，其特征在于，根据用户在所述图片上绘制的曲线识别封闭区域之后，还包括：
    计算所述封闭区域所圈定的区域面积；
    若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
  5. 根据权利要求1所述的方法，其特征在于，根据所述封闭区域在所述图片中确定搜索目标之后，还包括：
    在所述图片中区别显示所述搜索目标；
    为所述搜索目标建立搜索标签并进行显示，所述搜索标签用于供用户输入搜索指令。
  6. 根据权利要求1所述的方法，其特征在于，根据所述封闭区域在所述图片中确定搜索目标包括：
    获取所述封闭曲线在所述图片内选择的至少一个像素点；
    在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
  7. 一种图片搜索装置，其特征在于，包括：
    显示模块，用于显示图片；
    识别模块，用于根据用户在所述图片上绘制的曲线识别封闭区域；
    目标确定模块，用于根据所述封闭区域在所述图片中确定搜索目标；
    请求模块，用于根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
  8. 根据权利要求7所述的装置，其特征在于，所述识别模块包括：
    线条识别子模块，用于识别用户在所述图片上绘制的线条；
    第一区域识别子模块，用于如果所述线条闭合，则识别出闭合的区域作为封闭区域；
    距离识别子模块，用于如果所述线条不闭合，则识别所述线条的端点距离；
    第二区域识别子模块，用于如果所述线条端点距离小于设定阈值，则确定所述线条围设的区域作为封闭区域。
  9. 根据权利要求7所述的装置，其特征在于，还包括：
    第一提示模块，用于根据用户在所述图片上绘制的曲线识别封闭区域之后，如果所述封闭区域的数量大于设定的数量阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
  10. 根据权利要求7所述的装置，其特征在于，还包括：
    面积计算模块，用于根据用户在所述图片上绘制的曲线识别封闭区域之后，计算所述封闭区域所圈定的区域面积；
    第二提示模块，用于若所述区域面积小于预先设定的面积阈值，则向用户发送异常信息，以提示用户重新划定封闭曲线。
  11. 根据权利要求7所述的装置，其特征在于，还包括：
    区别显示模块，用于根据所述封闭区域在所述图片中确定搜索目标之后，在所述图片中区别显示所述搜索目标；
    搜索标签显示模块，用于为所述搜索目标建立搜索标签并进行显示，所述 搜索标签用于供用户输入搜索指令。
  12. 根据权利要求7所述的装置，其特征在于，所述目标确定模块包括：
    像素点获取子模块，用于获取所述封闭曲线在所述图片内选择的至少一个像素点；
    主体识别子模块，用于在所述图片中识别包括所述像素点的主体，作为所述搜索目标。
  13. 一个或多个包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种图片搜索方法，其特征在于，所述方法包括以下步骤：
    显示图片；
    根据用户在所述图片上绘制的曲线识别封闭区域；
    根据所述封闭区域在所述图片中确定搜索目标；
    根据用户输入的搜索指令，基于所述搜索目标发起搜索请求。
PCT/CN2015/092415 2015-05-21 2015-10-21 图片搜索方法、装置和存储介质 Ceased WO2016184031A1 (zh)

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