JP3649242B2 - Mobile phone device and character input method for mobile phone device - Google Patents

Description

  The present invention relates to a mobile terminal device typified by a mobile phone having a character input function for creating a telephone book or an e-mail.

  Conventionally, in a mobile terminal device such as a mobile phone, a numeric keypad of a keypad and a function key such as a multifunction key are generally used as character input means for creating a telephone book, an e-mail, etc. You are entering characters. First, input the kana of the character to be input by the toggle input operation of the numeric keypad, then display a plurality of kanji conversion candidates corresponding to the input kana by the conversion operation using the function key, and finally press the function key. A desired kanji is selected from the kanji conversion candidates and confirmed by the confirmation operation used. That is, the character input means relies on key operations for all character input operations.

  As a specific example, for example, in a general mobile phone, as a method of inputting the reading kana, kana of each line of 50 tones is assigned to each of “1” to “0” keys constituting the numeric keypad, and any one of them is selected. When a key is selected and pressed, a method is adopted in which the kana of the line assigned to the key is sequentially changed and displayed according to the number of times the key is pressed.

  In this case, for example, when the “1” key is pressed five times, “o” in the line is input. In the kana input with a cloud point, for example, “ga” is input by performing a key input operation for adding a cloud point after inputting “ka”. In the input of stuttering, as in the case of kana input with a muddy point, after inputting a normal kana first, the special key for stuttering is pressed to switch the normal kana to stuttering, or the same key is pressed six times. The method is adopted.

  However, such a character input operation has a problem in that the number of times the numeric keypad is pressed increases in order to input a target character, and the operability is poor.

  Therefore, as an example of a portable terminal that eliminates such poor operability in the conventional example, a device in which 50 sounds are arranged in a matrix and the number of key presses during character input operation is reduced is proposed. (For example, Patent Document 1).

  As another example, acceleration detection means using an acceleration sensor is provided, and based on the detection output of the acceleration detection means, a movement locus of movement applied to the mobile terminal device is obtained and the movement locus is displayed on the display. A mobile terminal device has also been proposed that recognizes a moving locus as an input character when a confirmation operation is performed in a state where the moving locus is displayed (for example, Patent Document 2). In this case, the reading kana can be input as if it were handwritten input. Further, in Patent Document 2, it is proposed to select and confirm an input character without depending on the operation of a function key by detecting the direction of movement and the amount of movement.

JP 2000-172417 A JP 2002-169645 A

  However, in the case of the above-described portable terminal device of Patent Document 1, it is necessary to press the key at least twice for each character in order to input characters. Also, if the operability is improved by displaying the correspondence list between the next key press and the character input by the first key press, the first input operation → display → second time There is a problem that it is necessary to put a display process between the input operation and the input process before and after, and the process is complicated, and the input operation cannot be performed at high speed.

  In addition, in the case of the portable terminal device of Patent Document 2, it is necessary to add an acceleration sensor that is not necessary for the original portable terminal device, and the direction and amount of movement are detected by integrating the output twice. A function is also required, and there is a problem that processing is complicated and expensive in order to realize this function with high accuracy.

  The present invention has been made in view of the above points, and an object of the present invention is to provide a portable terminal device capable of reliably inputting characters with minimum key presses and improving character input operability. .

The mobile phone device according to the present invention is
An imaging unit for imaging video;
A motion vector detection unit that detects a motion vector for each area constituting the screen from the video signal output from the imaging unit, and detects a motion vector of the entire screen based on the detected plurality of motion vectors ;
A key operation unit having a plurality of keys;
An output from the output and the motion vector detecting unit from the key operation unit, and based on the data table associating a character, and a character input confirmation unit for selecting an input character,
Obtain Bei a display unit <br/> displaying the character input determination unit at selected character.

According to the mobile phone device of the present invention, a motion vector is detected for each region constituting a screen from an image capturing unit that captures an image and a video signal output from the image capturing unit, and the detected plurality of motions associating a motion vector detecting section for detecting a motion vector of the entire screen based on the vector, a key operation unit having a plurality of keys, and the output from the output and the motion vector detecting unit from the key operation unit, and a character and in based on the data table, and a character input confirmation unit for selecting an input character, because a display unit that displays the character input determination unit at selected character, vertically and horizontally mobile telephone device A shaking gesture operation can be detected by the motion vector detection means and used for character input information.

Embodiment 1 FIG.
FIG. 1 is a block diagram showing a schematic configuration of a character input mechanism in a mobile terminal device according to an embodiment of the present invention, and FIG. 2 shows an external perspective view of the mobile terminal device. The mobile terminal device 1 (FIG. 2) is a mobile phone with an imaging function, and its character input mechanism 2 (FIG. 1) includes an imaging unit 3, a motion vector detection unit 4, a key operation unit 5, and a character input confirmation unit. 6 and a display unit 7 are provided.

  The image pickup unit 3 is a means for picking up still images and moving images, and includes an optical lens, an image sensor such as a CCD or a CMOS, a drive circuit, and the like, and its video output is output by a compression circuit unit (not shown) such as JPEG or Compressed into various formats such as MPEG.

  The motion vector detection unit 4 is a means for detecting a motion vector from the video output of the imaging unit 3, and specifically, in which direction between the previous and next frames using the relative relationship of the images between the previous and next frames. Calculate how much the image has moved. This motion vector detection unit 4 is also used in part with a motion vector detection circuit (detecting a motion vector for each macroblock on the screen) prepared as an encoding means for moving image compression when transmitting a moving image. The

Here, an example of the configuration of the motion vector detection unit 4 will be described with reference to the block diagram shown in FIG.
The video signal output from the imaging unit 3 is A / D converted by the A / D converter 41, and these signals are stored in the previous frame block memory 42 for each macroblock on the screen. In parallel with this, the pixel shift circuit 43 takes in the video signal of the pixel shifted from the pixel position (address) of each macroblock to each position having a different shift direction and shift amount, and these signals are absolute values of the next stage. This is input to the summation circuit 44. In the absolute value summation circuit 44, the absolute value of each macroblock pixel in the previous frame read from the previous frame block memory 42 and the pixel value of each macroblock in the next frame whose pixel position is shifted by the pixel shifter 43 are displayed. The sum total with the absolute value is obtained for each macroblock.

  Each block minimum detection circuit 45 in the next stage detects the motion vector by obtaining the minimum value of the sum of absolute values in each macroblock. Then, the averaging circuit 46 in the next stage averages the motion vector values for each macroblock in the screen to obtain the motion vector for the entire screen.

  In this motion vector detection unit 4, the part extending from the A / D converter 41 to the absolute value summation circuit 44 is a circuit part that also serves as a circuit provided in a mobile phone with a moving image function as encoding means for moving image compression. . Thereby, the structure of the motion vector detection part 4 can be simplified and cost reduction is attained.

  Further, another configuration example of the motion vector detection unit 4 will be described using the block diagram shown in FIG. A more specific description is given in Japanese Patent No. 2641599, so that the following is a brief description.

  In this example, the motion vector of the entire screen is detected by a representative point matching method used for camera shake correction. In other words, the representative point matching method sets a plurality of representative points in the screen, stores the signal values of the representative points of the previous frame, and calculates the absolute difference between the signal values of the pixels around the representative points of the current frame. In this method, a value is obtained and a motion vector is detected based on the absolute value.

  More specifically, as shown in FIG. 4, the video signal output from the imaging unit 3 is A / D converted by the A / D converter 41, and is supplied to the previous frame representative point memory 42A and the absolute value circuit 44A.

  In the previous frame representative point memory 42A, the signal value of the representative point of the previous frame one frame before is stored, and after each frame, that is, from the representative point of the current frame, each corresponding to the distance in the same address space as the cumulative addition table 47 The absolute value circuit 44A determines the absolute value of the difference between the pixel and the representative point of the previous frame.

  Then, this absolute value is cumulatively added to the corresponding address of the cumulative addition table 47 by the number of representative points, and the table comparison circuit 48 in the next stage has the image position in one frame with the address with the smallest cumulative addition value. The amount of movement in which direction, that is, the motion vector value is calculated.

  By adopting such a configuration, it is possible to detect a motion vector with higher accuracy. Further, when the camera shake correction function is provided in a mobile phone with a moving image function, the configuration of the motion vector detection unit 4 can be simplified by using part of the circuit, and the cost can be reduced.

  Returning to the description of FIG. The key operation unit 5 is an input means used for inputting characters and the like, and includes a plurality of keys, and includes “1” to “0” keys constituting a numeric keypad and other function keys. The key input pressed is encoded and output to the character input confirmation unit 6.

  The character input confirmation unit 6 controls the operation of selecting, converting, and confirming the input character based on the output from the key operation unit 5 and the output from the motion vector detection unit 4 according to a predetermined control program. The control unit 61 and the storage unit 62 are means. Based on inputs from the key operation unit 5 and the motion vector detection unit 4, the control unit 61 executes the steps of character input mode, selection, conversion, and confirmation. The storage unit 62 stores table information (a matrix in which key input and detected motion vectors are associated with characters) prepared in advance according to a plurality of character input modes.

  The display unit 7 is means for displaying candidate characters and the like to be selected at each stage selected, converted, and confirmed by the character input confirmation unit 6, thereby performing an interactive character input operation. In addition, the position where the imaging unit 3 (FIG. 1) is installed may be either the operation surface 1a where the key operation unit 5 and the display unit 7 in the main body of the mobile terminal device 1 are installed, or the back surface of the operation surface 1a.

Next, a character input operation by the mobile terminal device 1 will be described with reference to FIG.
First, the image pickup unit 3 is operated to enter a mode for shooting some subject M to obtain a video signal. In FIG. 2, the photographed subject M is displayed on the display unit 7, but it is not necessary to display the subject M because the purpose is to display input characters and conversion operations. The subject M may be basically anything, but a landscape with almost fixed movement is more desirable than a specific subject having individual independent movements such as a person. In addition, since the correlation between the images between the previous and next frames is used for motion vector detection, it is better not to adjust the focus or the like.

  Here, in FIG. 2, arrows a to d indicate directions of physical movement applied to the mobile terminal device 1, and images (A) to (D) are arrows from the state where the mobile terminal device 1 is stationary. The movement (motion vector) of the image of the subject M by the imaging unit 3 when tilted as shown by a to d is shown. An arrow a indicates a case where the upper part of the mobile terminal device 1 is inclined to the back side, an arrow b indicates a case where the right side part of the device 1 is inclined toward the back side, and an arrow c indicates a case where the lower part of the device 1 is inclined toward the back side. An arrow d indicates a case where the left side portion of the apparatus 1 is inclined to the back side.

  In the image of (A) corresponding to the movement of the arrow a, the movement (motion vector) of the image is upward, and in the image of (B) corresponding to the movement of the arrow b, the movement vector is rightward, and the arrow c In the image (C) corresponding to the motion, the motion vector is in the downward direction, and in the image (D) corresponding to the motion in the arrow d, the motion vector is in the left direction. The motion vector detection unit 4 detects these motion vectors.

  Therefore, when the left and right direction and up and down direction motion vector values detected by the motion vector detecting unit 4 are within a predetermined range, for example, the right direction motion vector is larger than a predetermined value, and the up and down direction motion vector is a predetermined value. If smaller, the character input confirmation unit 6 that receives the output of the motion vector detection unit 4 determines that the user has performed the gesture input of the arrow b on the mobile terminal device 1.

  Similarly, when the motion vector is smaller than a predetermined value in both the left-right direction and the up-down direction, the character input determination unit 6 determines that the mobile terminal device 1 is “still”. Assuming that the motion vector is (O) in the case of “still”, the motion vector (O) is added to (A), (B), (C), and (D), and five types of gesture input are performed. The five types of information are output from the motion vector detection unit 4 to the character input determination unit 6.

Hereinafter, a specific character input method will be described with reference to FIGS.
5 to 8 are diagrams showing specific examples of table information corresponding to the character input modes of “full-width kana”, “half-width kana”, “half-width alphabet”, and “full-width alphabet”, respectively.

  The matrix of each character input mode shown in FIG. 5 to FIG. 8 divides the “2-touch method” matrix used in the current mobile phone in half, and inputs the second digit (O), (A). , (B), (C), (D). The character input mode is determined based on an input from the key operation unit 5, and the input mode is displayed on the display unit 7.

  In the character input confirming unit 6, first, as an input mode switching step as the first step, the control unit 61 determines the character input mode based on the input from the key operation unit 5 and displays the input mode on the display unit 7. To do. In the input character selection step, which is the next second step, the control unit 61 reads table information (matrix) in the input mode from the storage unit 62 and selects characters according to this matrix. In the next conversion step, which is the third step, the control unit 61 converts the selected character into kanji, and in the determination step, which is the fourth step, selects and confirms the desired kanji from the converted kanji candidates.

  In this way, by dividing the processing operation of the character input confirmation unit 6 into multiple stages, it is possible to select an input character by performing one key input and one gesture input, or performing these simultaneously, and character input The operability can be further improved.

  Next, a case where a kanji character “conversion” is input will be described as a specific example. First, the character input mode is set to “full-width kana” using the function keys of the key operation unit 5. In the “full-width kana” mode, the matrix of FIG. 5 is read from the storage unit 62 and enters an input standby state. In this state, according to the matrix of FIG. 5, “6” key and (C) gesture input select “to”, “0” key and (B) gesture input select “n”, “2” key When “ka” is selected with the gesture input of (O) and “n” is selected with the “0” key and the gesture input of (B), “Epikan” is displayed on the display unit 7. In this case, since the output from the key operation unit 5 and the output from the motion vector detection unit 4 are independent from each other, they can be input simultaneously. The number of key presses used for the input of this “seizure” is 4 times.

  Next, a conversion operation is performed with a function key (generally, a “down arrow key”). Then, in addition to “Conversion”, unintended Kanji characters such as “Return” may appear as candidates, so perform a confirmation operation with the function keys to select and confirm the intended Kanji character (generally “up / down arrow” ”To select and“ OK ”to confirm).

  Next, a case where “gakukou” is selected in order to input the kanji “school” as an example including muddy sounds and lowercase letters will be described below. As in the above example, first, the character input mode is set to “full-width kana” using the function keys. After that, according to the matrix of FIG. 5, “ka” is selected by “2” key and (O) gesture input, and “0” key and (C) gesture input is added to change the sound to “ga”, “4”. ”Key and (B) gesture input to select“ tsu ”, function key to change to lower case“ tsu ”,“ 2 ”key and (D) gesture input to select“ ko ”,“ 1 ”key and ( Select “U” with the gesture input of B). In this case, it is possible to input “gakukou” with the number of times the key is pressed six times.

  In the case of half-width kana mode, input is performed according to the matrix in FIG. In this case as well, uppercase input and lowercase input can be switched using the function keys.

  Next, a case where the characters “Hello” are input in half-width will be described. In this case, first, the “half-width alphabet” mode is set, “H” is selected by the “2” key and (B) gesture input according to the matrix of FIG. 7, and the “8” key and (D) gesture input are selected. To change to lower case input mode, select “e” with “1” key and (D) gesture input, select “l” with “3” key and (A) gesture input, “3” key and (A ) Select “l” with gesture input, select “o” with “3” key and (D) gesture input. Also in this case, “Hello” can be input with the number of times the key is pressed six times.

  In the case of full-width alphabetic mode, input is performed according to the matrix in FIG. In this case as well, capital letter input and small letter input can be switched using the “8” key, gesture input (D), and function keys.

  To summarize the above operation, the angle of the portable terminal device 1 with respect to the subject is changed to change the imaging angle of the subject M, and the motion vector is detected by regarding the change of the imaging angle as the movement of the subject M. It is possible to change the angle of the mobile terminal device 1 with respect to the subject, that is, it can be used as a substitute for key operation with gestures, and it is possible to input characters reliably with minimum key operations, thereby improving character input operability. Can be made.

  In the above description, there are five types of gesture input. However, this is simplified in order to reduce false detections. In addition to stationary, left and right, up and down, the movement in the diagonal direction is one of the gesture inputs. The number of types of gesture input may be increased.

  In the above description, the case where the key operation and the gesture operation are performed simultaneously has been described. However, the gesture operation may be performed after the key operation, for example. In this case, after the key operation, which character is selected in the next gesture operation is displayed on the display unit 7, or when there is no gesture input for a certain period, this is determined as the gesture of (O). It is also conceivable to add a time-out time for performing the above.

  In the above description, an example has been shown in which the character matrix selected by the key operation and the gesture operation is created based on the “two-touch method” used in the current mobile phone. A matrix may be used. For example, as in the case of normal character input, if “A”, “B”, “C” are assigned to the “2” key, and “D”, “E”, “F” are assigned to the “3” key, etc. The same keys can be used as for normal input, and the print display can be shared.

  In the mobile terminal device 1 shown in FIG. 2, the example in which the imaging unit 3 is installed on the back side of the operation surface 1 a on which the key operation unit 5 and the display unit 7 are installed is shown. You may install in the surface 1a side. In this case, the operator himself can be the subject M, and the character input operation can also be performed by body movement such as shaking the operator's face without moving the mobile terminal device itself.

Embodiment 2. FIG.
Next, in the present embodiment, a method for detecting time-series changes in motion vectors and improving the accuracy of motion vector detection will be described.
As described in the first embodiment, the subject M to be imaged by the imaging unit 3 is only a fixed scene with almost no movement from a scene where there are moving objects such as persons and animals having individual movements. Is preferable. This is because if the moving object is in the imaging range, a motion vector corresponding to the moving object may be detected, resulting in an increase in false detection of the motion vector and a decrease in detection accuracy. However, even if a subject with only a landscape is selected, disturbance may occur due to people, animals, or the like crossing the imaging range, and erroneous detection of motion vectors may occur.

  FIG. 9 is a diagram showing temporal changes in motion vectors, where the vertical axis represents the motion vector and the horizontal axis represents time. For example, it is assumed that a moving object such as a person crosses the imaging range of the imaging unit 3 when a landscape is selected as a subject or when the mobile terminal device 1 itself is stationary. In this case, as shown in FIG. 9A, in the motion vector detection state, the moving object enters the imaging range of the imaging unit 3 at the timing (a) and exits the imaging range at the timing (b). Thus, when a moving object crosses in front of a landscape with almost no motion, the detected motion vector is only in one direction.

  On the other hand, when a landscape is selected as a subject and the user moves the mobile terminal device 1 as indicated by arrows a to d in FIG. Shown in After the user moves the mobile terminal device 1 as indicated by an arrow b, for example, the mobile terminal 1 is checked in the direction opposite to the arrow b in order to check the display unit 7 on which the state of character input or conversion operation is displayed. Move. That is, the mobile terminal 1 starts to move in the direction of arrow b at the timing (c), and the operation ends at the timing (d). Then, the mobile terminal 1 starts to move in the direction opposite to the arrow b at the timing (e), and the operation ends at the timing (f). As described above, when inputting characters, a motion vector in a certain direction is first detected, and then a reverse motion vector is detected.

  Therefore, by performing the motion vector detection process in the flow shown in FIG. 10, it becomes possible to discriminate between erroneous detection due to disturbance and character input operation by the user.

  First, in step 1, a predetermined amount of motion vector is detected. Next, a timer for a predetermined period is set in step 2, and it is determined whether or not a motion vector in the direction opposite to the motion vector detected in step 1 is detected within the timer period (step 3, Step 4). If a motion vector in the reverse direction is detected, it is determined that the user has performed a character input operation (step 5).

  Thus, after detecting a motion vector in one direction and detecting a motion vector in the reverse direction within a predetermined period, it is possible to reduce erroneous detection of the motion vector by determining that it is a character input operation by the user. It is possible to improve the detection accuracy.

  In the processing flow shown in FIG. 10, a timer is set in step 2 after the motion vector is detected in step 1. However, there is an input from a function key for determining a character input mode simultaneously with a gesture input for moving the mobile terminal device 1 or before a gesture input, or an input from a numeric keypad for corresponding to the matrix shown in FIG. To do. Therefore, the timer may be set using these key inputs as a trigger.

  The mobile phone terminal device according to the present embodiment is configured, for example, by providing the storage unit 62 of the character input confirmation unit 6 shown in FIG. 1 with a function of storing the detected motion vector for a predetermined period. That is, based on the processing flow shown in FIG. 10, the motion vector detected by the motion vector detection unit 4, the table information stored in the storage unit 62, the stored motion vector, and the input from the key operation unit 5 The control unit 62 executes the steps of character input mode, selection, conversion, and confirmation. In addition to the storage unit 62, a storage unit (not shown) may be provided to store the detected motion vector for a predetermined period.

Embodiment 3 FIG.
In this embodiment, a method for improving motion vector detection accuracy by dividing a frame into a plurality of regions and using a motion vector frequency distribution detected for each region will be described.

  First, the frame is divided into a plurality of regions. FIG. 11A shows the entire frame, and FIG. 11B shows a state in which the frame of FIG. The number of frame divisions may be other than 16, and the shape of each divided area may be other than a rectangle.

  Next, a motion vector is detected for each divided area. FIG. 12A shows a motion vector detection state when a moving object crosses the imaging range during gesture input. FIG. 12B shows a motion vector detection state when no moving object is present in the imaging range when a gesture is input. In FIG. 12A, the moving object occupies the nine areas in the upper left, and the remaining seven areas are the background. In other words, the ratio of the moving object to the entire frame is higher than that of the background. Therefore, in this case, simply by detecting the highest peak from the frequency distribution of motion vectors, a motion vector corresponding to a moving object is detected.

  However, in the case shown in FIG. 12A, it is detected that there are two motion vectors in the frame, and the two motion vectors are used as motion vector candidates representing the frame. If the frame existing before or after the frame shown in FIG. 12A is a frame as shown in FIG. 12B, the frames shown in FIG. Can be detected as a motion vector in the right direction. That is, by detecting two peaks of the frequency distribution of the motion vector in each frame and comparing with the temporally preceding and succeeding frames, either one of the two motion vectors is represented as a motion vector representing the frame. to decide. By this processing, even when a moving object or the like exists, false detection of motion vectors is reduced and detection accuracy is improved.

  FIG. 13 shows a processing flow of the motion vector detection method in the present embodiment. First, in step 11, a motion vector is detected in each area obtained by dividing the frame. Next, the motion vector frequency distribution is detected using the motion vector detected for each region (step 12). Further, it is detected whether or not there is one peak of the frequency distribution of the motion vector (step 13). If there is one, it is determined that the detected peak is a motion vector representing the frame (step). 14). This is because the disturbance due to a moving object or the like is small, and the detected peak can be determined as a motion vector corresponding to the background.

  On the other hand, if it is determined in step 13 that there is not one peak in the frequency distribution of the motion vector, it is next detected whether there are two peaks (step 15). When there are two peaks, it is compared with a frame that exists temporally before or after the frame to be processed, and it is determined that one of the peaks is a motion vector representing the frame ( Step 16). When there are two peaks, one is a motion vector corresponding to the background, and the other is considered a motion vector corresponding to the moving object. Therefore, by setting both as candidates and performing motion vector determination in comparison with frames that exist before and after in time, even if the ratio of the background to the frame to be processed is low, the background It is possible to detect a motion vector corresponding to. By this process, erroneous detection of motion vectors is reduced and detection accuracy is improved.

  By the way, when it is detected in step 15 that there are two or more peaks in the frequency distribution of the motion vector, it is determined that the video in the frame is disturbed, and it is determined that a motion vector representing the frame has not been detected ( Step 16).

  In step 16, it has been described that the current frame to be processed and the screen that is temporally before and after are used as the frames used for comparison. However, only the previous frame that is temporally ahead is compared. Alternatively, it may be compared with only a subsequent frame that is behind in time. Further, the frame to be compared is not limited to a frame existing immediately before or immediately after the current frame to be processed, and may be a frame that is before or after a predetermined time, or an average of a predetermined number of frames. It may be a value. Also, motion vectors representing frames, motion vectors including candidates, or motion vector frequency distributions themselves may be compared.

  Further, although two peaks are detected from the motion vector frequency distribution, two or more peaks may be detected.

  The mobile phone terminal device according to the present embodiment is configured, for example, by providing the storage unit 62 of the character input confirmation unit 6 shown in FIG. 1 with a function of storing the detected motion vector for a predetermined period. That is, based on the processing flow shown in FIG. 13, the motion vector detected by the motion vector detection unit 4, the table information stored in the storage unit 62, the stored motion vector, and the input from the key operation unit 5 The control unit 62 executes the steps of character input mode, selection, conversion, and confirmation. In addition to the storage unit 62, a storage unit (not shown) may be provided to store the detected motion vector for a predetermined period.

  In the present specification, the present invention has been described using Japanese as an example. However, the mobile phone and the character input method according to the present invention can be applied not only to Japanese but also to other languages.

It is a block diagram which shows schematic structure of the character input mechanism in the portable terminal device concerning Embodiment 1 of this invention. It is explanatory drawing which shows gesture input operation | movement of the said portable terminal device. It is a block diagram which shows an example of the circuit which comprises the motion vector detection means of the portable terminal device. It is a block diagram which shows the other circuit example of the motion vector detection means. It is a figure which shows the character matrix of the full-width kana input mode stored in the memory | storage part of the character input confirmation part in a portable terminal device. It is a figure which shows the character matrix of the half-width kana input mode stored in the memory | storage part of the character input confirmation part in the portable terminal device. It is a figure which shows the character matrix of the half-width alphabet input mode stored in the memory | storage part of the character input confirmation part in the portable terminal device. It is a figure which shows the character matrix of the full-width alphabet input mode stored in the memory | storage part of the character input confirmation part in the portable terminal device. It is a figure which shows the time-sequential change of the motion vector which the portable terminal device concerning Embodiment 2 of this invention detects. It is the figure which showed the processing flow of the motion vector detection method in the portable terminal device. It is a figure which shows the division | segmentation state of the flame | frame in the portable terminal device concerning Embodiment 3 of this invention. It is a figure which shows the detection state of the motion vector in the portable terminal device. It is the figure which showed the processing flow of the motion vector detection method in the portable terminal device.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Portable terminal device 2 Character input mechanism 3 Imaging part 4 Motion vector detection part 5 Key operation part 6 Character input confirmation part 7 Display part

Claims (16)

An imaging unit for imaging video;
A motion vector detection unit that detects a motion vector for each area constituting the screen from the video signal output from the imaging unit, and detects a motion vector of the entire screen based on the detected plurality of motion vectors ;
A key operation unit having a plurality of keys;
An output from the output and the motion vector detecting unit from the key operation unit, and based on the data table associating a character, and a character input confirmation unit for selecting an input character,
A display unit that displays the character input determination unit at selected character
Mobile phone device Ru equipped with. An imaging unit for imaging video;
A motion vector detection unit that detects a motion vector of the entire screen by a representative point matching method from the video signal output from the imaging unit;
A key operation unit having a plurality of keys;
A character input confirmation unit that selects an input character based on a data table in which an output from the key operation unit and an output from the motion vector detection unit are associated with characters;
A display unit for displaying the character selected by the character input confirmation unit;
A mobile phone device comprising: A data table consists of multiple rows and multiple columns.
The character input confirmation part
Either one of the row designation or the column designation is determined by the output from the motion vector detection unit, and the other one is determined by the output from the key operation unit, and an input character is selected.
The mobile phone device according to claim 1 or 2, wherein Motion vector detection
To be performed by an encoding circuit that compresses the video signal
The mobile phone device according to claim 1 or 3, wherein The motion vector detection unit detects the motion vector when it detects a predetermined time-series change of the motion vector.
The mobile phone device according to any one of claims 1 to 4, wherein: The motion vector detection unit detects the one-way motion vector when a motion vector in the opposite direction to the one direction is detected within a predetermined period after the one-way motion vector is detected.
The mobile phone device according to claim 5 . The motion vector detection unit detects a motion vector frequency distribution for each area constituting the screen, and detects a motion vector of the entire screen from the motion vector frequency distribution.
The mobile phone device according to claim 1 . The motion vector detection unit detects the peak as a motion vector of the entire screen when there is one peak of the frequency distribution of the motion vector.
The mobile phone device according to claim 7 . When there are two peaks in the frequency distribution of the motion vector, the motion vector detection unit detects one of the peaks as the motion vector of the entire screen.
The mobile phone device according to claim 7. The area that composes the screen must consist of one or more macroblocks
10. The mobile phone device according to claim 1, or any one of claims 3 to 9. A character input method for inputting characters using a mobile phone device having a key operation unit composed of a plurality of keys,
An imaging step for imaging video;
A motion vector detection step of detecting a motion vector for each region constituting the screen from the video signal output from the imaging step, and detecting a motion vector of the entire screen based on the detected plurality of motion vectors;
A character input confirmation step of selecting an input character based on a data table in which an output from the key operation unit and an output from the motion vector detection step are associated with a character;
A display step for displaying the character selected in the character input confirmation step;
A character input method for a mobile phone device comprising: A character input method for inputting characters using a mobile phone device having a key operation unit composed of a plurality of keys,
An imaging step for imaging video;
A motion vector detection step of detecting a motion vector of the entire screen by a representative point matching method from the video signal output from the imaging step;
A character input confirmation step of selecting an input character based on a data table in which an output from the key operation unit and an output from the motion vector detection step are associated with a character;
A display step for displaying the character selected in the character input confirmation step;
A character input method for a mobile phone device comprising: A data table consists of multiple rows and multiple columns.
The character input confirmation step
Either one of the row designation or the column designation is determined by the output from the motion vector detection step, and the other one is determined by the output from the key operation unit, and an input character is selected.
The character input method of the mobile phone device according to claim 11 or 12. The motion vector detecting step detects that the motion vector is detected when a predetermined time-series change of the motion vector is detected.
The character input method for a mobile phone device according to claim 11, wherein: The motion vector detection step detects a motion vector frequency distribution for each area constituting the screen, and detects a motion vector of the entire screen from the motion vector frequency distribution.
The character input method of the mobile phone device according to claim 11. The area that composes the screen must consist of one or more macroblocks
The character input method for a mobile phone device according to any one of claims 11 and 13 to 15.

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