WO2018000910A1 - 实时生成聊天表情的方法及装置 - Google Patents

实时生成聊天表情的方法及装置 Download PDF

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Publication number
WO2018000910A1
WO2018000910A1 PCT/CN2017/080821 CN2017080821W WO2018000910A1 WO 2018000910 A1 WO2018000910 A1 WO 2018000910A1 CN 2017080821 W CN2017080821 W CN 2017080821W WO 2018000910 A1 WO2018000910 A1 WO 2018000910A1
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chat
expression
category
synthesized
related information
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French (fr)
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马健
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Beijing Qihoo Technology Co Ltd
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Beijing Qihoo Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

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  • the present invention relates to the field of Internet application technologies, and in particular, to a method and apparatus for generating a chat expression in real time.
  • social chat software such as WeChat, QQ, etc.
  • the expression generation method is artificially constructed. Even the expressions that are searched and searched are artificially constructed in advance.
  • the disadvantage of this method is that the number of expressions constructed is limited and the style is fixed. Once constructed, it will only be fixed. Words. The user's language input is varied, and the fixed number and style of expressions are obviously difficult to meet the user's need for expression interaction.
  • the present invention has been made in order to provide a method and corresponding apparatus for real-time generation of chat expressions that overcomes the above problems or at least partially solves the above problems.
  • a method for generating a chat expression in real time including:
  • the expression corresponding to the topic related information matching the chat phrase is used as an expression to be synthesized, and is combined with the chat phrase to generate a chat expression and provided to the user.
  • an apparatus for generating a chat emoticon in real time comprising:
  • An annotation module configured to label one or more expressions in the basic expression set, and label the theme related information of each expression
  • a matching module adapted to: when the chat phrase from the user is received, the chat word The sentence is matched with the topic related information of the respective expressions of the annotation, and the theme related information matching the chat phrase is obtained;
  • the generating module is configured to synthesize an expression corresponding to the topic related information that matches the chat phrase as an expression to be synthesized, and synthesize the chat sentence to generate a chat expression, and provide the chat expression to the user.
  • a computer program comprising computer readable code, when said computer readable code is run on a computing device, causing said computing device to perform real time generation according to said The way to chat with emoticons.
  • a computer readable medium storing the above computer program is provided.
  • the embodiment of the invention proposes a new real-time expression generation method.
  • the chat word is matched with the topic related information of each of the annotated expressions, and the topic related information matching the chat sentence is obtained.
  • the expression corresponding to the topic related information matching the chat word is used as the expression to be synthesized, and is combined with the chat sentence to generate a chat expression and provided to the user.
  • the embodiment of the present invention can construct an expression in real time according to user input requirements, and expands the expression well in breadth and richness.
  • it is a great richness and innovation, which greatly satisfies the user's demand for expression interaction.
  • FIG. 1 shows a flow chart of a method for generating a chat emoticon in real time according to an embodiment of the invention
  • FIG. 2a illustrates an emoticon in a basic expression set according to an embodiment of the invention.
  • FIG. 2b is a schematic diagram showing an area synthesized by the annotation shown in FIG. 2a according to an embodiment of the invention
  • 2c shows a schematic diagram of a generated chat emoticon in accordance with an embodiment of the present invention
  • FIG. 3a is a schematic diagram showing an expression in a basic expression set according to another embodiment of the present invention.
  • FIG. 3b is a schematic diagram showing an area synthesized by the annotation shown in FIG. 3a according to an embodiment of the invention.
  • FIG. 3c is a schematic diagram of a generated chat emoticon according to another embodiment of the present invention.
  • Figure 4a shows a schematic diagram of a chat interface in accordance with an embodiment of the present invention
  • FIG. 4b shows a schematic diagram of a chat interface including chat emoticons in accordance with an embodiment of the present invention
  • FIG. 5 is a schematic structural diagram of an apparatus for generating a chat expression in real time according to an embodiment of the invention.
  • FIG. 6 is a schematic structural diagram of an apparatus for generating a chat expression in real time according to another embodiment of the present invention.
  • Figure 7 is a schematic block diagram of a computing device for performing a method of generating a chat emoticon in real time in accordance with the present invention
  • Fig. 8 schematically shows a storage unit for holding or carrying program code implementing a method of generating a chat emoticon in real time according to the present invention.
  • FIG. 1 illustrates a flow chart of a method of generating a chat emoticon in real time, in accordance with an embodiment of the present invention. As shown in FIG. 1, the method includes at least the following steps S102 to S106:
  • Step S102 labeling one or more expressions in the basic expression set, and labeling topic related information of each expression
  • Step S104 when receiving the chat word from the user, matching the chat word with the topic related information of each of the annotated faces, and obtaining topic related information that matches the chat word;
  • Step S106 the expression corresponding to the topic related information matching the chat sentence is treated as The synthesized expression is synthesized with the chat words to generate a chat expression and provided to the user.
  • the embodiment of the invention proposes a new real-time expression generation method.
  • the chat word is matched with the topic related information of each of the annotated expressions, and the topic related information matching the chat sentence is obtained.
  • the expression corresponding to the topic related information matching the chat word is used as the expression to be synthesized, and is combined with the chat sentence to generate a chat expression and provided to the user.
  • the embodiment of the present invention can construct an expression in real time according to user input requirements, and expands the expression well in breadth and richness.
  • it is a great richness and innovation, which greatly satisfies the user's demand for expression interaction.
  • the basic expression set mentioned in the above step S102 may be a set of existing expression resources.
  • the existing expression resources are as shown in FIGS. 2a and 3a, and the present invention is not limited thereto.
  • the theme related information may be marked on each expression in the basic expression set.
  • the theme related information of the expression may be marked as “Cuckoo, the country is broken, the poem is written”;
  • the subject-related information that can be marked with the expression is "shy, blushing". It should be noted that the examples herein are merely illustrative and are not intended to limit the invention.
  • the composite regions may also be labeled for each of the expressions in the base expression set.
  • the synthesized area may be an area composed of a square, a circle or an irregular shape, for example, an area in which the expression shown in FIG. 2a may be combined, as shown in FIG. 2b; or as shown in FIG. 3a.
  • the emoticons are shown in the synthesized area, as shown in the box in Figure 3b.
  • the examples herein are merely illustrative and are not intended to limit the invention.
  • the type of composition may also be labeled for each of the expressions in the base expression set.
  • the type of synthesis may include text, pictures, etc., and the user can set according to actual needs.
  • step S104 the chat words are matched with the topic related information of each of the annotated faces, and the matching topic related information or the semantic matching manner may be adopted, which will be described in detail below.
  • the method of matching related information of the theme is adopted. First, the category of the chat word sentence is determined, and in the correspondence relationship between the pre-established category and the category attribute, the category attribute corresponding to the category of the chat word sentence is searched. Then, obtaining the category attribute value corresponding to the category attribute of the chat phrase, and inputting the obtained category attribute value and the related information of the labeled various expressions into the theme Line matching.
  • the chat sentence “listing in the mountains” is received from the user, it is determined that the category of the chat word is “poetry”, and the category attribute corresponding to the “verse” is found in the correspondence between the pre-established category and the category attribute. Includes “authors.” Furthermore, the author of the chat sentence “Listing the Mountain” is Du Fu, and the "Cuckoo” is matched with the related information of the various expressions of the annotations. According to the matching result, the expression shown in Fig. 2a or 2b can be used as the composite to be synthesized. expression.
  • the embodiment of the present invention provides an optional solution, in which a pre-built word category dictionary can be obtained, where the word category and the category are stored in the word category dictionary. Correspondence relationship, so as to find the category of the chat sentence in the word category dictionary.
  • the categories herein may include idioms, verses, songs, movies, books, etc., and the invention is not limited thereto.
  • the semantic matching method is adopted. That is, the chat words are semantically matched with the topic related information of each of the annotated expressions, and the subject related information that is semantically identical or similar to the chat sentence is obtained.
  • the chat phrase “The picture is too beautiful to look at” when receiving the chat phrase “The picture is too beautiful to look at” from the user, it can be semantically matched with the topic related information of each expression, which can be matched to “shy” and the chat phrase “The picture is too beautiful to look at” semantically.
  • the "shy" corresponding expression can be used as the expression to be synthesized, that is, the expression shown in Fig. 3a or 3b is taken as the expression to be synthesized.
  • the above method 1 or method 2 respectively introduces how to match the chat words with the topic related information of each expression of the annotation, and in actual application, the information related to the topic of each expression of the chat word and the annotation may be combined with the first method and the second method. Make a match. That is, when the chat word from the user is received, the category of the chat word is searched in the pre-built word category dictionary, and if found, the method 1 continues to be used to obtain the topic related information matching the chat word. On the other hand, if it is not found, that is, the chat word is not in the word category dictionary, the semantic matching can be performed in the second way, and the subject related information which is semantically identical or similar to the chat sentence is obtained.
  • step S106 synthesizes the expression corresponding to the topic related information matching the chat phrase as the expression to be synthesized, and the chat sentence is synthesized, and may be based on the synthesized region or the synthesized type. .
  • the embodiment of the present invention may mark a synthesized area for each expression in the basic expression set, where the synthesized area may be an area composed of a box, a circle, or an irregular shape. Therefore, after the expression to be synthesized is obtained, the synthesized area labeled as the expression to be synthesized can be acquired, and then the chat words are merged into the synthesized area to generate a chat expression. For example, as described above, when the chat sentence input by the user is “list of small mountains”, the expression shown in FIG. 2a or 2b may be used as an expression to be synthesized, and the box shown in FIG. 2b is as shown in FIG. 2a.
  • the chat sentence "list at the mountain” can be replaced by the "national broken mountain river” in the box, and a chat expression is generated, as shown in Fig. 2c.
  • the “list of small mountains” is located in the box (the box is not shown in FIG. 2c), and the format of the font or the arrangement may be set according to actual needs, which is not limited by the present invention.
  • synthesis is performed based on the synthesized regions and the type of synthesis.
  • the embodiment of the present invention may also mark the type of synthesis for each expression in the basic expression set.
  • the type of composition here can include text, pictures, etc., and the user can set according to actual needs. Therefore, after the expression to be synthesized is obtained, the synthesized area and the synthesized type of the expression to be synthesized can be acquired.
  • the chat words are then converted into a composite type and merged into the synthesized area to generate a chat expression. For example, in Fig. 2c, the chat word "list of small mountains" is synthesized with the expression to be synthesized.
  • the type of the composition is a picture
  • a picture containing the chat word can be generated, and the picture is scaled according to the size of the synthesized area, and the scaled picture is obtained, and the scaled picture is merged into the synthesized area.
  • the expression shown in FIG. 3a or 3b may be used as an expression to be synthesized, and the box shown in FIG. 3b is FIG. 3a.
  • the illustrated area of the emoticon is combined to generate a picture containing the chat phrase "The picture is too beautiful to look at”, and the picture is scaled according to the size of the synthesized area, and the scaled picture is obtained, and the scaled picture is merged into
  • the area of the synthesis is shown in Figure 3c.
  • the "picture is too beautiful!!! Don't dare to watch!!!” is located in the box (the box is not shown in Figure 3c), and the font or arrangement format can be set according to actual needs. limit.
  • the scaled picture can be combined by matrix addition. The resulting regions are matrix added.
  • FIG. 5 is a schematic structural diagram of an apparatus for generating a chat expression in real time according to an embodiment of the invention.
  • the apparatus may include at least an annotation module 510, a matching module 520, and a generation module 530.
  • the structure of the device for generating a chat emoticon in real time is introduced.
  • the components of the device or the functions of the device and the connection relationship between the components are as follows:
  • the labeling module 510 is adapted to label one or more expressions in the basic expression set, and label the topic related information of each expression;
  • the matching module 520 is coupled to the labeling module 510, and is adapted to, when receiving the chat word from the user, match the chat word with the related topic information of the respective expressions to obtain a match with the chat word.
  • Subject related information
  • the generating module 530 is coupled to the matching module 520, and is configured to synthesize an expression corresponding to the topic related information that matches the chat sentence as an expression to be synthesized, synthesize the chat sentence, generate a chat expression, and provide the user.
  • the matching module 520 may include:
  • a determining unit 521 configured to determine a category of the chat phrase
  • the searching unit 522 is configured to search for a category attribute corresponding to the category of the chat word in the correspondence between the pre-established category and the category attribute;
  • the obtaining unit 523 is configured to obtain a category attribute value corresponding to the category attribute of the chat phrase
  • the matching unit 524 is adapted to match the obtained category attribute value with the labeled topic related information of the respective expressions.
  • the determining unit 521 is further adapted to:
  • the apparatus shown in FIG. 5 above may further include:
  • the building module 540 is coupled to the determining unit 521 and is adapted to acquire one or more categories to be constructed; enumerate the words and phrases of the respective categories; and construct the word category category dictionary based on the respective categories and the words of the respective categories.
  • the category comprises at least one of the following:
  • the matching module 520 is further adapted to:
  • the labeling module 510 is further adapted to:
  • the synthesized area is labeled for each expression.
  • the generating module 530 is further adapted to:
  • chat words are merged into the synthesized area to generate a chat expression.
  • the labeling module 510 is further adapted to:
  • the type of composition is labeled for each expression.
  • the generating module 530 is further adapted to:
  • chat words are converted into the synthesized type and merged into the synthesized area to generate a chat expression.
  • the generating module 530 is further adapted to:
  • the type of the composition is a picture, generating a picture including the chat phrase
  • the scaled picture is merged into the synthesized area.
  • the embodiment of the present invention can achieve the following beneficial effects:
  • the embodiment of the invention proposes a new real-time expression generation method.
  • the chat word is matched with the topic related information of each of the annotated expressions, and the topic related information matching the chat sentence is obtained.
  • the expression corresponding to the topic related information matching the chat word is used as the expression to be synthesized, and is combined with the chat sentence to generate a chat expression and provided to the user.
  • the embodiment of the present invention can construct an expression in real time according to user input requirements, and expands the expression well in breadth and richness.
  • it is a great richness and innovation, which greatly satisfies the user's demand for expression interaction.
  • modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment.
  • the modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components.
  • any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined.
  • the various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof.
  • a microprocessor or digital signal processor may be used in practice to implement some or all of the functionality of some or all of the components of the device for generating chat emoticons in real time in accordance with embodiments of the present invention.
  • the invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein.
  • a program implementing the invention may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
  • Figure 7 illustrates a computing device that can implement a method of generating chat emoticons in real time.
  • the computing device conventionally includes a processor 710 and a computer program product or computer readable medium in the form of a memory 720.
  • Memory 720 can be an electronic memory such as a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • Memory 720 has a memory space 730 for program code 731 for performing any of the method steps described above.
  • storage space 730 for program code may include various program code 731 for implementing various steps in the above methods, respectively.
  • the program code can be read from or written to one or more computer program products.
  • Such computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks.
  • Such a computer program product is typically a portable or fixed storage unit as described with reference to FIG.
  • the storage unit may have storage segments, storage spaces, and the like that are similarly arranged to memory 720 in the computing device of FIG.
  • the program code can be compressed, for example, in an appropriate form.
  • the storage unit includes computer readable code 731', code that can be read by a processor, such as 710, which, when executed by a computing device, causes the computing device to perform the above description Each step in the method described.

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Abstract

一种实时生成聊天表情的方法及装置。该方法包括:对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息(S102);当接收到来自用户的聊天词句时,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息(S104);将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户(S106)。本方法和装置能够根据用户输入需求实时构建表情,在广度上和丰富度上对表情进行了很好的扩展。

Description

实时生成聊天表情的方法及装置 技术领域
本发明涉及互联网应用技术领域,特别是一种实时生成聊天表情的方法及装置。
背景技术
当前社交聊天软件(如微信、QQ等)已经成为人们生活中不可或缺的一部分,而表情的交互方式在聊天系统中扮演着举足轻重的作用。目前表情的生成方式都为人工构造,即便是通过搜索查询到的表情也是人工提前构建好的,这种方式的缺点在于:构建的表情数量有限,样式固定,一经构建好,将只能针对固定的词语。而用户的语言输入多种多样,固定数量和样式的表情显然难以满足用户对于表情交互方式的需求。
发明内容
鉴于上述问题,提出了本发明以便提供一种克服上述问题或者至少部分地解决上述问题的实时生成聊天表情的方法及相应的装置。
依据本发明的一方面,提供了一种实时生成聊天表情的方法,包括:
对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
当接收到来自用户的聊天词句时,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息;
将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户。
依据本发明的另一方面,还提供了一种实时生成聊天表情的装置,包括:
标注模块,适于对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
匹配模块,适于当接收到来自用户的聊天词句时,将所述聊天词 句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息;
生成模块,适于将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户。
依据本发明的又一方面,提供了一种计算机程序,其包括计算机可读代码,当所述计算机可读代码在计算设备上运行时,导致所述计算设备执行根据上文所述的实时生成聊天表情的方法。
依据本发明的再一方面,提供了一种计算机可读介质,其中存储了上述的计算机程序。
本发明实施例提出了一种全新的表情实时生成方式,首先对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息。当接收到来自用户的聊天词句时,将聊天词句与标注的各个表情的主题相关信息进行匹配,得到与聊天词句匹配的主题相关信息。随后,将与聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与聊天词句进行合成,生成聊天表情,并提供给用户。由此可见,本发明实施例能够根据用户输入需求实时构建表情,在广度上和丰富度上对表情进行了很好的扩展。并且,对于目前数量有限、模式固定的表情是个极大的丰富和创新,极大满足用户对于表情交互方式的需求。
上述说明仅是本发明技术方案的概述,为了能够更清楚了解本发明的技术手段,而可依照说明书的内容予以实施,并且为了让本发明的上述和其它目的、特征和优点能够更明显易懂,以下特举本发明的具体实施方式。
附图说明
通过阅读下文优选实施方式的详细描述,各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的,而并不认为是对本发明的限制。而且在整个附图中,用相同的参考符号表示相同的部件。在附图中:
图1示出了根据本发明一实施例的实时生成聊天表情的方法的流程图;
图2a示出了根据本发明一实施例的基础表情集合中的表情示意 图;
图2b示出了根据本发明一实施例的对图2a所示的表情标注合成的区域的示意图;
图2c示出了根据本发明一实施例的生成的聊天表情的示意图;
图3a示出了根据本发明另一实施例的基础表情集合中的表情示意图;
图3b示出了根据本发明一实施例的对图3a所示的表情标注合成的区域的示意图;
图3c示出了根据本发明另一实施例的生成的聊天表情的示意图;
图4a示出了根据本发明一实施例的聊天界面的示意图;
图4b示出了根据本发明一实施例的包含聊天表情的聊天界面的示意图;
图5示出了根据本发明一实施例的实时生成聊天表情的装置的结构示意图;
图6示出了根据本发明另一实施例的实时生成聊天表情的装置的结构示意图;
图7示意性地示出了用于执行根据本发明的实时生成聊天表情的方法的计算设备的框图;以及
图8示意性地示出了用于保持或者携带实现根据本发明的实时生成聊天表情的方法的程序代码的存储单元。
具体实施方式
下面结合附图和具体的实施方式对本发明作进一步的描述。
为解决上述技术问题,本发明实施例提供了一种实时生成聊天表情的方法。图1示出了根据本发明一实施例的实时生成聊天表情的方法的流程图。如图1所示,该方法至少包括以下步骤S102至步骤S106:
步骤S102,对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
步骤S104,当接收到来自用户的聊天词句时,将聊天词句与标注的各个表情的主题相关信息进行匹配,得到与聊天词句匹配的主题相关信息;
步骤S106,将与聊天词句匹配的主题相关信息对应的表情作为待 合成的表情,与聊天词句进行合成,生成聊天表情,并提供给用户。
本发明实施例提出了一种全新的表情实时生成方式,首先对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息。当接收到来自用户的聊天词句时,将聊天词句与标注的各个表情的主题相关信息进行匹配,得到与聊天词句匹配的主题相关信息。随后,将与聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与聊天词句进行合成,生成聊天表情,并提供给用户。由此可见,本发明实施例能够根据用户输入需求实时构建表情,在广度上和丰富度上对表情进行了很好的扩展。并且,对于目前数量有限、模式固定的表情是个极大的丰富和创新,极大满足用户对于表情交互方式的需求。
上文步骤S102中提及的基础表情集合,可以是已有的表情资源组成的集合,例如,已有的表情资源如图2a和3a所示,本发明不限于此。在本发明实施例中,可以对基础表情集合中的各个表情标注主题相关信息,如在图2a中,可以标注该表情的主题相关信息为“杜甫、国破山河在、作诗”;在图3a中,可以标注该表情的主题相关信息为“害羞、脸红”。需要说明的是,此处举例仅是示意的,并不对本发明进行限制。
在本发明的可选实施例中,还可以为基础表情集合中的各个表情标注合成的区域。这里,合成的区域可以是方框、圆圈或者不规则形状所组成的区域,例如,可以为图2a所示的表情标注合成的区域,如图2b所示的方框;也可以为图3a所示的表情标注合成的区域,如图3b所示的方框。当然,此处举例仅是示意的,并不对本发明进行限制。
在本发明的可选实施例中,还可以为基础表情集合中的各个表情标注合成的类型。这里,合成的类型可以包括文字、图片等,用户可以根据实际的需求进行设置。
在步骤S104中将聊天词句与标注的各个表情的主题相关信息进行匹配,可以采用匹配主题相关信息或者语义匹配的方式,下面将分别进行详细介绍。
方式一,采用匹配主题相关信息的方式。首先,确定聊天词句的类别,在预先建立的类别与类别属性的对应关系中,查找聊天词句的类别对应的类别属性。随后,获取聊天词句的类别属性对应的类别属性值,并将获取到的类别属性值与标注的各个表情的主题相关信息进 行匹配。
例如,当接收到来自用户的聊天词句“一览众山小”时,确定该聊天词句的类别为“诗句”,在预先建立的类别与类别属性的对应关系中查找到“诗句”对应的类别属性包括“作者”。进而,获取聊天词句“一览众山小”的作者为杜甫,将“杜甫”与标注的各个表情的主题相关信息进行匹配,根据匹配结果可以将如图2a或2b所示的表情作为待合成的表情。
进一步地,在确定聊天词句的类别时,本发明实施例提供了一种可选的方案,在该方案中,可以获取预先构建的词句类别词典,其中,该词句类别词典中存储了词句与类别的对应关系,从而在词句类别词典中查找聊天词句的类别。这里的类别可以包括成语、诗句、歌曲、电影、图书等,本发明不限于此。
由于成语、诗句、歌曲、电影、图书等这些都是可枚举类型,因而在构建词句类别词典时,可以获取待构建的一个或多个类别,枚举各个类别的词句,并基于各个类别以及各个类别的词句,构建词句类别词典。
方式二,采用语义匹配的方式。即,将聊天词句与标注的各个表情的主题相关信息进行语义匹配,得到语义上与聊天词句相同或相近的主题相关信息。
例如,当接收到来自用户的聊天词句“画面太美不敢看”时,将其与各个表情的主题相关信息进行语义匹配,可以匹配到“害羞”与聊天词句“画面太美不敢看”语义上相同或相近,可以将“害羞”对应表情作为待合成的表情,即将图3a或3b所示的表情作为待合成的表情。
以上方式一或方式二分别介绍了如何将聊天词句与标注的各个表情的主题相关信息进行匹配,在实际应用中,也可以结合方式一和方式二将聊天词句与标注的各个表情的主题相关信息进行匹配。即,当接收到来自用户的聊天词句时,在预先构建的词句类别词典中查找聊天词句的类别,若查找到,则继续采用方式一进行匹配,得到与聊天词句匹配的主题相关信息。反之,若未查找到,也就是说,聊天词句不在词句类别词典中,则可以采用方式二进行语义匹配,得到语义上与聊天词句相同或相近的主题相关信息。
在步骤S104得到与聊天词句匹配的主题相关信息之后,步骤S106将与聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与聊天词句进行合成,可以基于合成的区域或者合成的类型进行。
首先,基于合成的区域进行合成。如上文介绍,本发明实施例可以为基础表情集合中的各个表情标注合成的区域,这里的合成的区域可以是方框、圆圈或者不规则形状所组成的区域。因此,在得到待合成的表情后,可以获取为待合成的表情标注的合成的区域,进而将聊天词句合并至合成的区域,生成聊天表情。例如,如上文所述,当用户输入的聊天词句为“一览众山小”时,可以将图2a或2b所示的表情作为待合成的表情,图2b所示的方框是为图2a所示的表情标注合成的区域,可以将聊天词句“一览众山小”替换方框内的“国破山河在”,生成聊天表情,如图2c所示。在图2c中,“一览众山小”位于方框内(图2c中未展示方框),其字体或排列的格式可以根据实际需求进行设置,本发明对此不作限制。
其次,基于合成的区域和合成的类型进行合成。如上文介绍,本发明实施例还可以为基础表情集合中的各个表情标注合成的类型。这里的合成的类型可以包括文字、图片等,用户可以根据实际的需求进行设置。因此,在得到待合成的表情后,可以获取为待合成的表情标注的合成的区域和合成的类型。进而将聊天词句转换成合成的类型,并合并至合成的区域,生成聊天表情。例如,图2c中是以文字类型将聊天词句“一览众山小”与待合成的表情合成的。
当合成的类型为图片时,可以生成包含聊天词句的图片,按照合成的区域的大小对图片进行缩放操作,得到缩放后的图片,将缩放后的图片合并至合成的区域。例如,如上文所述,当用户输入的聊天词句为“画面太美不敢看”时,可以将图3a或3b所示的表情作为待合成的表情,图3b所示的方框是为图3a所示的表情标注合成的区域,可以生成包含聊天词句“画面太美不敢看”的图片,并按照合成的区域的大小对图片进行缩放操作,得到缩放后的图片,将缩放后的图片合并至合成的区域,如图3c所示。在图3c中,“画面太美!!!不敢看!!!”位于方框内(图3c中未展示方框),其字体或排列的格式可以根据实际需求进行设置,本发明对此不作限制。此外,在将缩放后的图片合并至合成的区域时,可以采用矩阵相加的方式,将缩放后的图片与合 成的区域进行矩阵相加。
下面通过一具体实施例来详细介绍本发明的实时生成聊天表情的方法的实现过程。在该实施例中,用户B通过社交聊天软件与好友A聊天,参见如图4a所示的聊天界面。当用户B收到好友A的聊天消息“分享给你吧:)”时,在输入框输入“画面太美不敢看”,输入框的右侧会自动生成相应的聊天表情,如图4b所示。这里,生成聊天表情的具体方式可以参见前文介绍,此处不再赘述。
需要说明的是,在实际应用中,上述所有可选实施方式可以采用结合的方式任意组合,形成本发明的可选实施例,在此不再一一赘述。
基于上文各个实施例提供的实时生成聊天表情的方法,基于同一发明构思,本发明实施例还提供了一种实时生成聊天表情的装置。图5示出了根据本发明一实施例的实时生成聊天表情的装置的结构示意图。如图5所示,该装置至少可以包括标注模块510、匹配模块520以及生成模块530。
现介绍本发明实施例的实时生成聊天表情的装置的结构示意图装置的各组成或器件的功能以及各部分间的连接关系:
标注模块510,适于对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
匹配模块520,与标注模块510相耦合,适于当接收到来自用户的聊天词句时,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息;
生成模块530,与匹配模块520相耦合,适于将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户。
在本发明一实施例中,如图6所示,上述匹配模块520可以包括:
确定单元521,适于确定所述聊天词句的类别;
查找单元522,适于在预先建立的类别与类别属性的对应关系中,查找所述聊天词句的类别对应的类别属性;
获取单元523,适于获取所述聊天词句的类别属性对应的类别属性值;
匹配单元524,适于将获取到的所述类别属性值与标注的所述各个表情的主题相关信息进行匹配。
在本发明一实施例中,上述确定单元521还适于:
获取预先构建的词句类别词典,其中,所述词句类别词典中存储了词句与类别的对应关系;
在所述词句类别词典中查找所述聊天词句的类别。
在本发明一实施例中,如图6所示,上文图5展示的装置还可以包括:
构建模块540,与确定单元521相耦合,适于获取待构建的一个或多个类别;枚举各个类别的词句;基于各个类别以及各个类别的词句,构建所述词句类别词典。
在本发明一实施例中,所述类别包括下列至少之一:
成语、诗句、歌曲、电影、图书。
在本发明一实施例中,上述匹配模块520还适于:
将所述聊天词句与标注的所述各个表情的主题相关信息进行语义匹配,得到语义上与所述聊天词句相同或相近的主题相关信息。
在本发明一实施例中,上述标注模块510还适于:
在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的区域。
在本发明一实施例中,上述生成模块530还适于:
获取为所述待合成的表情标注的合成的区域;
将所述聊天词句合并至所述合成的区域,生成聊天表情。
在本发明一实施例中,上述标注模块510还适于:
在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的类型。
在本发明一实施例中,上述生成模块530还适于:
获取为所述待合成的表情标注的合成的区域和合成的类型;
将所述聊天词句转换成所述合成的类型,并合并至所述合成的区域,生成聊天表情。
在本发明一实施例中,上述生成模块530还适于:
若所述合成的类型为图片,生成包含所述聊天词句的图片;
按照所述合成的区域的大小对所述图片进行缩放操作,得到缩放后的图片;
将所述缩放后的图片合并至所述合成的区域。
根据上述任意一个优选实施例或多个优选实施例的组合,本发明实施例能够达到如下有益效果:
本发明实施例提出了一种全新的表情实时生成方式,首先对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息。当接收到来自用户的聊天词句时,将聊天词句与标注的各个表情的主题相关信息进行匹配,得到与聊天词句匹配的主题相关信息。随后,将与聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与聊天词句进行合成,生成聊天表情,并提供给用户。由此可见,本发明实施例能够根据用户输入需求实时构建表情,在广度上和丰富度上对表情进行了很好的扩展。并且,对于目前数量有限、模式固定的表情是个极大的丰富和创新,极大满足用户对于表情交互方式的需求。
在此处所提供的说明书中,说明了大量具体细节。然而,能够理解,本发明的实施例可以在没有这些具体细节的情况下实践。在一些实例中,并未详细示出公知的方法、结构和技术,以便不模糊对本说明书的理解。
类似地,应当理解,为了精简本公开并帮助理解各个发明方面中的一个或多个,在上面对本发明的示例性实施例的描述中,本发明的各个特征有时被一起分组到单个实施例、图、或者对其的描述中。然而,并不应将该公开的方法解释成反映如下意图:即所要求保护的本发明要求比在每个权利要求中所明确记载的特征更多的特征。更确切地说,如下面的权利要求书所反映的那样,发明方面在于少于前面公开的单个实施例的所有特征。因此,遵循具体实施方式的权利要求书由此明确地并入该具体实施方式,其中每个权利要求本身都作为本发明的单独实施例。
本领域那些技术人员可以理解,可以对实施例中的设备中的模块进行自适应性地改变并且把它们设置在与该实施例不同的一个或多个设备中。可以把实施例中的模块或单元或组件组合成一个模块或单元或组件,以及此外可以把它们分成多个子模块或子单元或子组件。除了这样的特征和/或过程或者单元中的至少一些是相互排斥之外,可以采用任何组合对本说明书(包括伴随的权利要求、摘要和附图)中公开的所有特征以及如此公开的任何方法或者设备的所有过程或单元进行组合。除非另外明确陈述,本说明书(包括伴随的权利要求、摘要 和附图)中公开的每个特征可以由提供相同、等同或相似目的的替代特征来代替。
此外,本领域的技术人员能够理解,尽管在此所述的一些实施例包括其它实施例中所包括的某些特征而不是其它特征,但是不同实施例的特征的组合意味着处于本发明的范围之内并且形成不同的实施例。例如,在下面的权利要求书中,所要求保护的实施例的任意之一都可以以任意的组合方式来使用。
本发明的各个部件实施例可以以硬件实现,或者以在一个或者多个处理器上运行的软件模块实现,或者以它们的组合实现。本领域的技术人员应当理解,可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本发明实施例的实时生成聊天表情的装置中的一些或者全部部件的一些或者全部功能。本发明还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如,计算机程序和计算机程序产品)。这样的实现本发明的程序可以存储在计算机可读介质上,或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到,或者在载体信号上提供,或者以任何其他形式提供。
例如,图7示出了可以实现实时生成聊天表情的方法的计算设备。该计算设备传统上包括处理器710和以存储器720形式的计算机程序产品或者计算机可读介质。存储器720可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。存储器720具有用于执行上述方法中的任何方法步骤的程序代码731的存储空间730。例如,用于程序代码的存储空间730可以包括分别用于实现上面的方法中的各种步骤的各个程序代码731。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。这些计算机程序产品包括诸如硬盘,紧致盘(CD)、存储卡或者软盘之类的程序代码载体。这样的计算机程序产品通常为如参考图8所述的便携式或者固定存储单元。该存储单元可以具有与图7的计算设备中的存储器720类似布置的存储段、存储空间等。程序代码可以例如以适当形式进行压缩。通常,存储单元包括计算机可读代码731’,即可以由例如诸如710之类的处理器读取的代码,这些代码当由计算设备运行时,导致该计算设备执行上面所描 述的方法中的各个步骤。
本文中所称的“一个实施例”、“实施例”或者“一个或者多个实施例”意味着,结合实施例描述的特定特征、结构或者特性包括在本发明的至少一个实施例中。此外,请注意,这里“在一个实施例中”的词语例子不一定全指同一个实施例。
应该注意的是上述实施例对本发明进行说明而不是对本发明进行限制,并且本领域技术人员在不脱离所附权利要求的范围的情况下可设计出替换实施例。在权利要求中,不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本发明可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中,这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。
此外,还应当注意,本说明书中使用的语言主要是为了可读性和教导的目的而选择的,而不是为了解释或者限定本发明的主题而选择的。因此,在不偏离所附权利要求书的范围和精神的情况下,对于本技术领域的普通技术人员来说许多修改和变更都是显而易见的。对于本发明的范围,对本发明所做的公开是说明性的,而非限制性的,本发明的范围由所附权利要求书限定。

Claims (24)

  1. 一种实时生成聊天表情的方法,包括:
    对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
    当接收到来自用户的聊天词句时,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息;
    将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户。
  2. 根据权利要求1所述的方法,其中,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,包括:
    确定所述聊天词句的类别;
    在预先建立的类别与类别属性的对应关系中,查找所述聊天词句的类别对应的类别属性;
    获取所述聊天词句的类别属性对应的类别属性值;
    将获取到的所述类别属性值与标注的所述各个表情的主题相关信息进行匹配。
  3. 根据权利要求1或2所述的方法,其中,确定所述聊天词句的类别,包括:
    获取预先构建的词句类别词典,其中,所述词句类别词典中存储了词句与类别的对应关系;
    在所述词句类别词典中查找所述聊天词句的类别。
  4. 根据权利要求1-3中任一项所述的方法,其中,通过以下步骤构建所述词句类别词典:
    获取待构建的一个或多个类别;
    枚举各个类别的词句;
    基于各个类别以及各个类别的词句,构建所述词句类别词典。
  5. 根据权利要求1-4中任一项所述的方法,其中,所述类别包括下列至少之一:
    成语、诗句、歌曲、电影、图书。
  6. 根据权利要求1-5中任一项所述的方法,其中,将所述聊天词 句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息,包括:
    将所述聊天词句与标注的所述各个表情的主题相关信息进行语义匹配,得到语义上与所述聊天词句相同或相近的主题相关信息。
  7. 根据权利要求1-6中任一项所述的方法,其中,还包括:
    在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的区域。
  8. 根据权利要求1-7中任一项所述的方法,其中,将所述待合成的表情与所述聊天词句进行合成,生成聊天表情,包括:
    获取为所述待合成的表情标注的合成的区域;
    将所述聊天词句合并至所述合成的区域,生成聊天表情。
  9. 根据权利要求1-8中任一项所述的方法,其中,还包括:
    在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的类型。
  10. 根据权利要求1-9中任一项所述的方法,其中,将所述待合成的表情与所述聊天词句进行合成,生成聊天表情,包括:
    获取为所述待合成的表情标注的合成的区域和合成的类型;
    将所述聊天词句转换成所述合成的类型,并合并至所述合成的区域,生成聊天表情。
  11. 根据权利要求1-10中任一项所述的方法,其中,若所述合成的类型为图片,将所述聊天词句转换成所述合成的类型,并合并至所述合成的区域,包括:
    生成包含所述聊天词句的图片;
    按照所述合成的区域的大小对所述图片进行缩放操作,得到缩放后的图片;
    将所述缩放后的图片合并至所述合成的区域。
  12. 一种实时生成聊天表情的装置,包括:
    标注模块,适于对基础表情集合中的一个或多个表情进行标注,标注各个表情的主题相关信息;
    匹配模块,适于当接收到来自用户的聊天词句时,将所述聊天词句与标注的所述各个表情的主题相关信息进行匹配,得到与所述聊天词句匹配的主题相关信息;
    生成模块,适于将与所述聊天词句匹配的主题相关信息对应的表情作为待合成的表情,与所述聊天词句进行合成,生成聊天表情,并提供给所述用户。
  13. 根据权利要求12所述的装置,其中,所述匹配模块包括:
    确定单元,适于确定所述聊天词句的类别;
    查找单元,适于在预先建立的类别与类别属性的对应关系中,查找所述聊天词句的类别对应的类别属性;
    获取单元,适于获取所述聊天词句的类别属性对应的类别属性值;
    匹配单元,适于将获取到的所述类别属性值与标注的所述各个表情的主题相关信息进行匹配。
  14. 根据权利要求12或13所述的装置,其中,所述确定单元还适于:
    获取预先构建的词句类别词典,其中,所述词句类别词典中存储了词句与类别的对应关系;
    在所述词句类别词典中查找所述聊天词句的类别。
  15. 根据权利要求12-14中任一项所述的装置,其中,还包括:
    构建模块,适于获取待构建的一个或多个类别;枚举各个类别的词句;基于各个类别以及各个类别的词句,构建所述词句类别词典。
  16. 根据权利要求12-15中任一项所述的装置,其中,所述类别包括下列至少之一:
    成语、诗句、歌曲、电影、图书。
  17. 根据权利要求12-16中任一项所述的装置,其中,所述匹配模块还适于:
    将所述聊天词句与标注的所述各个表情的主题相关信息进行语义匹配,得到语义上与所述聊天词句相同或相近的主题相关信息。
  18. 根据权利要求12-17中任一项所述的装置,其中,所述标注模块还适于:
    在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的区域。
  19. 根据权利要求12-18中任一项所述的装置,其中,所述生成模块还适于:
    获取为所述待合成的表情标注的合成的区域;
    将所述聊天词句合并至所述合成的区域,生成聊天表情。
  20. 根据权利要求12-19中任一项所述的装置,其中,所述标注模块还适于:
    在对基础表情集合中的一个或多个表情进行标注时,为各个表情标注合成的类型。
  21. 根据权利要求12-20中任一项所述的装置,其中,所述生成模块还适于:
    获取为所述待合成的表情标注的合成的区域和合成的类型;
    将所述聊天词句转换成所述合成的类型,并合并至所述合成的区域,生成聊天表情。
  22. 根据权利要求12-21中任一项所述的装置,其中,所述生成模块还适于:
    若所述合成的类型为图片,生成包含所述聊天词句的图片;
    按照所述合成的区域的大小对所述图片进行缩放操作,得到缩放后的图片;
    将所述缩放后的图片合并至所述合成的区域。
  23. 一种计算机程序,包括计算机可读代码,当所述计算机可读代码在计算设备上运行时,导致所述计算设备执行根据权利要求1-11中任一项所述的实时生成聊天表情的方法。
  24. 一种计算机可读介质,其中存储了如权利要求23所述的计算机程序。
PCT/CN2017/080821 2016-06-30 2017-04-17 实时生成聊天表情的方法及装置 Ceased WO2018000910A1 (zh)

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